This paper is in the following e-collection/theme issue:

AI Language Models in Health Care (171) New Technologies (104) Natural Language Processing (874) Electronic Health Records (1279) Machine Learning (1990) Decision Support for Health Professionals (1483) Methods and New Tools in Mental Health Research (540) Diagnostic Tools in Mental Health (309)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65454, first published .
Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study

Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study

Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study

Authors of this article:

Nicholas C Cardamone1 Author Orcid Image ;   Mark Olfson2 Author Orcid Image ;   Timothy Schmutte3 Author Orcid Image ;   Lyle Ungar4 Author Orcid Image ;   Tony Liu4 Author Orcid Image ;   Sara W Cullen5 Author Orcid Image ;   Nathaniel J Williams6 Author Orcid Image ;   Steven C Marcus5 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

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  5. Balan R, Gumpel T. ChatGPT clinical use in mental healthcare: A scoping review of empirical evidence (Preprint). JMIR Mental Health 2025 View