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

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: A Scoping Review (Preprint). Journal of Medical Internet Research 2024 View