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

Depression and Mood Disorders; Suicide Prevention (1273) Short Paper (17) Violence including Domestic Violence/Abuse (106) Machine Learning (1373) Machine Learning (47) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (23)

Published on in Vol 10 (2023)

This is a member publication of University of Washington

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49359, first published .
Identifying Rare Circumstances Preceding Female Firearm Suicides: Validating A Large Language Model Approach

Identifying Rare Circumstances Preceding Female Firearm Suicides: Validating A Large Language Model Approach

Identifying Rare Circumstances Preceding Female Firearm Suicides: Validating A Large Language Model Approach

Authors of this article:

Weipeng Zhou1 Author Orcid Image ;   Laura C Prater2, 3 Author Orcid Image ;   Evan V Goldstein4 Author Orcid Image ;   Stephen J Mooney5 Author Orcid Image
Article Authors Cited by (1) Tweetations (8) Metrics

Weipeng Zhou   1 , BA ;   Laura C Prater   2, 3 , MPH, PhD ;   Evan V Goldstein   4 , MPP, PhD ;   Stephen J Mooney   5 , MS, PhD

1 Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, United States

2 Department of Psychiatry and Behavioral Health, University of Washington, Seattle, WA, United States

3 Harborview Medical Center, School of Medicine, University of Washington, Seattle, WA, United States

4 Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States

5 Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States

Corresponding Author:

  • Stephen J Mooney, MS, PhD
  • Department of Epidemiology
  • School of Public Health
  • University of Washington
  • Hans Rosling Center for Population Health
  • 3980 15th Ave NE
  • Seattle, WA, 98195
  • United States
  • Phone: 1 206-685-1643
  • Email: sjm2186@uw.edu