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
Mohammed Al-Garadi
1
, PhD ;
Michele LeNoue-Newton
1
, PhD ;
Michael E Matheny
1
, MD, MS, MPH ;
Melissa McPheeters
2
, MPH, PhD ;
Jill M Whitaker
1
, MSN ;
Jessica A Deere
1
, MPH ;
Michael F McLemore
1
, BSN, RN ;
Dax Westerman
1
, MS ;
Mirza S Khan
1
, MS ;
José J Hernández-Muñoz
3
, PhD ;
Xi Wang
3
, PhD ;
Aida Kuzucan
3
, PharmD ;
Rishi J Desai
4
, MS, PhD ;
Ruth Reeves
1
, PhD
1
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
2
Research Triangle Park, NC, United States
3
United States Food and Drug Administration, Silver Spring, MD, United States
4
Harvard University, Cambridge, MA, United States
Corresponding Author:
-
Mohammed Al-Garadi, PhD
-
Department of Biomedical Informatics
-
Vanderbilt University Medical Center
-
2525 West End Avenue
-
Nashville, TN 37203
-
United States
-
Phone:
1 2139151696
-
Email: mohammed.a.al-garadi@vumc.org