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

Journals

  1. Zhu J, Cukier M, Richardson J. Nutrition facts, drug facts, and model facts: putting AI ethics into practice in gun violence research. Journal of the American Medical Informatics Association 2024 View