Accessibility settings

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

Public (e)Health, Digital Epidemiology and Public Health Informatics (2299) Clinical Information and Decision Making (3700) mHealth for Data Collection and Research (1726) mHealth in a Clinical Setting (1145) Electronic Health Records (1726) Ontologies, Classifications, and Coding (440) Infectious Diseases (non-STD/STI) (1931) Artificial Intelligence (4765)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/98580, first published .
Close-up of hands typing on a laptop keyboard

The Performance of Large Language Models in Extracting Intestinal Symptoms From Electronic Health Records: Retrospective Observational Study

The Performance of Large Language Models in Extracting Intestinal Symptoms From Electronic Health Records: Retrospective Observational Study

Authors of this article:

Xinyue Zhang1, 2 Author Orcid Image ;   Quanyu Wang2 Author Orcid Image ;   Beibei Liu2 Author Orcid Image ;   Xinyi Sang2 Author Orcid Image ;   Sheng Wei1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Xinyue Zhang   1, 2 , PhD ;   Quanyu Wang   2 , MM ;   Beibei Liu   2 , MM ;   Xinyi Sang   2 , MM ;   Sheng Wei   1 , PhD

1 School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China

2 Department of Epidemiology and Biostatistics, Tongji Medical College, School of Public Health, Huazhong University of Science and Technology, Wuhan, Hubei, China

Corresponding Author:

  • Sheng Wei, PhD
  • School of Public Health and Emergency Management
  • Southern University of Science and Technology
  • 1088 Xueyuan Avenue
  • Shenzhen, Guangdong 518055
  • China
  • Phone: 86 755-88011926
  • Fax: 86 755-88011926
  • Email: ws2008cn@gmail.com