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

Clinical Informatics (2306) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1760) Clinical Information and Decision Making (3771) Public (e)Health, Digital Epidemiology and Public Health Informatics (2324) Tools, Programs and Algorithms (591) Posttraumatic Stress Disorder (PTSD) (196) Machine Learning (3235) Artificial Intelligence (4854)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63352, first published .
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Misleading Results in Posttraumatic Stress Disorder Predictive Models Using Electronic Health Record Data: Algorithm Validation Study

Misleading Results in Posttraumatic Stress Disorder Predictive Models Using Electronic Health Record Data: Algorithm Validation Study

Authors of this article:

Thomas M Crow1 Author Orcid Image ;   Eric Lin2, 3 Author Orcid Image ;   Kelly L Harper1, 4 Author Orcid Image ;   Michael L Crowe1, 4 Author Orcid Image ;   Terence M Keane1, 4 Author Orcid Image ;   Brian P Marx1, 4 Author Orcid Image
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Journals

  1. Rubin M, Stuart E, Santos E, Cordova M, Watters K. Testing the use of local large language models to extract trauma identification and contextualize posttraumatic stress symptoms from self-report. Journal of Behavioral Medicine 2026 View