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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1926) Machine Learning (2095) Clinical Information and Decision Making (1935) Artificial Intelligence (2162) Natural Language Processing (923) Methods and New Tools in Mental Health Research (562) Mass Media/Social Media Communication and Campaigns (578)

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
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