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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1931) Machine Learning (2129) Clinical Information and Decision Making (1957) Artificial Intelligence (2197) Natural Language Processing (931) Methods and New Tools in Mental Health Research (566) Mass Media/Social Media Communication and Campaigns (581)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71113, first published .
Automated Extraction of Mortality Information From Publicly Available Sources Using Large Language Models: Development and Evaluation Study

Automated Extraction of Mortality Information From Publicly Available Sources Using Large Language Models: Development and Evaluation Study

Automated Extraction of Mortality Information From Publicly Available Sources Using Large Language Models: Development and Evaluation Study

Authors of this article:

Mohammed Al-Garadi1 Author Orcid Image ;   Michele LeNoue-Newton1 Author Orcid Image ;   Michael E Matheny1 Author Orcid Image ;   Melissa McPheeters2 Author Orcid Image ;   Jill M Whitaker1 Author Orcid Image ;   Jessica A Deere1 Author Orcid Image ;   Michael F McLemore1 Author Orcid Image ;   Dax Westerman1 Author Orcid Image ;   Mirza S Khan1 Author Orcid Image ;   José J Hernández-Muñoz3 Author Orcid Image ;   Xi Wang3 Author Orcid Image ;   Aida Kuzucan3 Author Orcid Image ;   Rishi J Desai4 Author Orcid Image ;   Ruth Reeves1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Zeng H, Liu G, Liu W, Zou S, Chen B, Yang R, Lin F, Peng J, Gao Y, Hao L. Evaluation of large language models in the clinical management of multiple chronic conditions: A comparative study of DeepSeek-R1 and ChatGPT-o1. Public Health 2025;249:106042 View
  2. LeNoue-Newton M, Al-Garadi M, Ngan K, Pillai H, Reeves R, Park D, Westerman D, Hernández-Muñoz J, Wang X, Kuzucan A, Wang S, Lin K, Fuller C, McPheeters M, Matheny M, Desai R. Augmenting fact and date of death in electronic health records using internet media sources: a validation study from two large healthcare systems. American Journal of Epidemiology 2025 View