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

Depression and Mood Disorders; Suicide Prevention (1691) Short Paper (29) Violence including Domestic Violence/Abuse (157) Machine Learning (2076) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87)

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 (13) Tweetations (7) 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;31(10):2414 View
  2. Burford K, Itzkowitz N, Ortega A, Teitler J, Rundle A. Use of Generative AI to Identify Helmet Status Among Patients With Micromobility-Related Injuries From Unstructured Clinical Notes. JAMA Network Open 2024;7(8):e2425981 View
  3. Burford K, Itzkowitz N, Rundle A, DiMaggio C, Mooney S. The Burden of Injuries Associated With E-Bikes, Powered Scooters, Hoverboards, and Bicycles in the United States: 2019‒2022. American Journal of Public Health 2024;114(12):1365 View
  4. Lima M, Ferreira D, Dias E. Aplicações de modelos de linguagem de grande escala no tratamento de depressão: uma revisão sistemática. Journal of Health Informatics 2024;16(Especial) View
  5. Holmes G, Tang B, Gupta S, Venkatesh S, Christensen H, Whitton A. Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review. Journal of Medical Internet Research 2025;27:e63126 View
  6. Levkovich I, Omar M. Evaluating of BERT-based and Large Language Mod for Suicide Detection, Prevention, and Risk Assessment: A Systematic Review. Journal of Medical Systems 2024;48(1) View
  7. Matthay E, Neill D, Titus A, Desai S, Troxel A, Cerdá M, Díaz I, Santacatterina M, Thorpe L. Integrating Artificial Intelligence into Causal Research in Epidemiology. Current Epidemiology Reports 2025;12(1) View
  8. Wang X, Zhou Y, Zhou G. The Application and Ethical Implication of Generative AI in Mental Health: Systematic Review. JMIR Mental Health 2025;12:e70610 View
  9. Parker S. Supervised Natural Language Processing Classification of Violent Death Narratives: Development and Assessment of a Compact Large Language Model. JMIR AI 2025;4:e68212 View
  10. Hua Y, Liu F, Yang K, Li Z, Na H, Sheu Y, Zhou P, Moran L, Ananiadou S, Clifton D, Beam A, Torous J. Large Language Models in Mental Health Care: A Scoping Review. Current Treatment Options in Psychiatry 2025;12(1) View
  11. Franco V, Baptista M, Leopoldino G. Predicting Suicide Using Natural Language Processing of Autobiographical Memory. Archives of Suicide Research 2025:1 View
  12. Perez-Toro P, Dineley J, Iniesta R, Zhang Y, Matcham F, Siddi S, Lamers F, Haro J, Penninx B, Folarin A, Arias-Vergara T, Orozco-Arroyave J, Nöth E, Maier A, Wykes T, Vairavan S, Dobson R, Narayan V, Hotopf M, Cummins N. Exploring biases related to the use of large language models in a multilingual depression corpus. Scientific Reports 2025;15(1) View

Conference Proceedings

  1. Qi H, Liu H, Li J, Zhao Q, Zhai W, Luo D, He T, Liu S, Yang B, Fu G. 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). SOS-1K: A Fine-Grained Suicide Risk Classification Dataset for Chinese Social Media Analysis View