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

Nicholas C Cardamone   1 , MSEd ;   Mark Olfson   2 , MD, MPH ;   Timothy Schmutte   3 , PsyD ;   Lyle Ungar   4 , PhD ;   Tony Liu   4 , PhD ;   Sara W Cullen   5 , MSW, PhD ;   Nathaniel J Williams   6 , PhD, LCSW ;   Steven C Marcus   5 , PhD

1 Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

2 Department of Psychiatry, the New York State Psychiatric Institute, New York, NY, United States

3 Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States

4 Computer and Information Science, University of Pennsylvania, Philadelphia, PA, United States

5 School of Social Policy & Practice, University of Pennsylvania, Philadelphia, PA, United States

6 School of Social Work, Boise State University, Boise, ID, United States

Corresponding Author:

  • Nicholas C Cardamone, MSEd
  • Department of Psychiatry
  • Perelman School of Medicine
  • University of Pennsylvania
  • 3535 Market Street
  • Philadelphia, PA, 19104
  • United States
  • Phone: 1 2158800568
  • Email: nicholas.cardamone@va.gov