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

AI Language Models in Health Care (199) New Technologies (107) Natural Language Processing (910) Electronic Health Records (1314) Machine Learning (2068) Decision Support for Health Professionals (1532) Methods and New Tools in Mental Health Research (555) Diagnostic Tools in Mental Health (324)

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 (8) Tweetations (2) Metrics

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  2. Liu Y, Wang F. Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation. Computer Methods and Programs in Biomedicine 2025;268:108864 View
  3. Bucher A, Egger S, Vashkite I, Wu W, Schwabe G. “It’s Not Only Attention We Need”: Systematic Review of Large Language Models in Mental Health Care. JMIR Mental Health 2025;12:e78410 View
  4. Qiu L, Tang C, Bi X, Burtch G, Chen Y, Zhang H. Physician Use of Large Language Models: A Quantitative Study Based on Large-Scale Query-Level Data. Journal of Medical Internet Research 2025;27:e76941 View
  5. Balan R, Gumpel T. ChatGPT clinical use in mental healthcare: A scoping review of empirical evidence (Preprint). JMIR Mental Health 2025 View
  6. Yao Y, Cen X, Gan L, Jiang J, Wang M, Xu Y, Yuan J. Automated Esophageal Cancer Staging From Free-Text Radiology Reports: Large Language Model Evaluation Study. JMIR Medical Informatics 2025;13:e75556 View
  7. Wang Y, Li M, Wang S, Fang Y, Sun J, Lu L, Yan W. Large language models in clinical psychiatry: Applications and optimization strategies. World Journal of Psychiatry 2025;15(11) View
  8. Ayesha N, Mujahid M, Mirdad A, Alamri F, Khan A. Large Language Model in Healthcare for the Prediction of Genetic Variants from Unstructured Text Medicine Data Using Natural Language Processing. Computers, Materials & Continua 2025;84(1):1883 View