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

AI Language Models in Health Care (221) Artificial Intelligence (2228) Clinical Information and Decision Making (1985) Clinical Informatics (1372)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80969, first published .
Machine Learning Algorithms to Predict Venous Thromboembolism in Patients With Sepsis in the Intensive Care Unit: Multicenter Retrospective Study

Machine Learning Algorithms to Predict Venous Thromboembolism in Patients With Sepsis in the Intensive Care Unit: Multicenter Retrospective Study

Machine Learning Algorithms to Predict Venous Thromboembolism in Patients With Sepsis in the Intensive Care Unit: Multicenter Retrospective Study

Authors of this article:

Yan Zhang1 Author Orcid Image ;   Xia Ren2 Author Orcid Image ;   Luojie Liu2 Author Orcid Image ;   Junjie Zha1 Author Orcid Image ;   Yijie Gu1 Author Orcid Image ;   Hongwei Ye1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yan Zhang   1 * , MD ;   Xia Ren   2 * , MS ;   Luojie Liu   2 , MD ;   Junjie Zha   1 , MS ;   Yijie Gu   1 , BS ;   Hongwei Ye   1 , MD

1 Department of Emergency and Critical Care Medicine, Changshu No.1 People's Hospital, Changshu, China

2 Department of Gastroenterology, Changshu No.1 People's Hospital, Changshu, Jiangsu, China

*these authors contributed equally

Corresponding Author:

  • Hongwei Ye, MD
  • Department of Emergency and Critical Care Medicine
  • Changshu No.1 People's Hospital
  • No. 1 Shuyuan Street
  • Changshu, Jiangsu 215500
  • China
  • Phone: 86 13915657982
  • Email: zy_rocky@163.com