This paper is in the following e-collection/theme issue:
Diagnostic Tools in Mental Health (411) Natural Language Processing (1208) Imaging Informatics (432) Machine Learning (2992) Mental Health Issues in Adolescence (739) Medical imaging (170) Generative Language Models Including ChatGPT (1373)Published on in Vol 13 (2026)
Preprints (earlier versions) of this paper are
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https://preprints.jmir.org/preprint/84424, first published
.

Functional Outcome Prediction in Young Adults With Mental Health Symptoms Using Machine Learning and Large Language Models: Longitudinal Observational Study
Functional Outcome Prediction in Young Adults With Mental Health Symptoms Using Machine Learning and Large Language Models: Longitudinal Observational Study
Authors of this article:
Pavol Mikolas1, 2
;
Fabian Huth1
;
Kyra Bröckel-Bundt1
;
Christina Berndt1
;
Julia Martini1
;
Birgit Maicher1
;
Michael Marxen1
;
Falk Gerrik Verhees1
;
Paula Marie Henneberg1
;
Christoph Vogelbacher3, 4, 5
;
Andreas Jansen3, 4, 5
;
Tilo Kircher3, 4, 5
;
Irina Falkenberg3, 4, 5
;
Florian Thomas-Odenthal3, 4, 5
;
Martin Lambert6
;
Vivien Kraft6
;
Gregor Leicht6
;
Christoph Mulert5, 6, 7
;
Andreas J Fallgatter8, 9
;
Thomas Ethofer8, 9, 10
;
Anne Rau8
;
Karolina Leopold11
;
Andreas Bechdolf11
;
Reif Andreas12
;
Silke Matura12
;
Jonathan Repple12, 13, 14
;
Felix Bermpohl15
;
Jana Fiebig15
;
Thomas Stamm15, 16
;
Christoph U Correll17, 18, 19
;
Georg Juckel20
;
Vera Flasbeck20
;
Isabella C Wiest21
;
Jakob N Kather21
;
Udo Dannlowski14, 22, 23, 24
;
Eva Mennigen1
;
Philipp Ritter1
;
Michael Bauer1
;
Andrea Pfennig1
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