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

Digital Health Reviews (1830) Clinical Information and Decision Making (2076) Machine Learning (2238) Artificial Intelligence (2362) Gastroenterology and Hepatology (145) Computer-Aided Diagnosis (279)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78203, first published .
Machine Learning in Predicting the Risk of Esophagogastric Variceal Bleeding Among Patients With Liver Cirrhosis: Systematic Review and Meta-Analysis

Machine Learning in Predicting the Risk of Esophagogastric Variceal Bleeding Among Patients With Liver Cirrhosis: Systematic Review and Meta-Analysis

Machine Learning in Predicting the Risk of Esophagogastric Variceal Bleeding Among Patients With Liver Cirrhosis: Systematic Review and Meta-Analysis

Authors of this article:

Yuan Lian1 Author Orcid Image ;   Xinping Qiu1 Author Orcid Image ;   Geli Wang1 Author Orcid Image ;   Nannan Liu1 Author Orcid Image ;   Jing Zhao1 Author Orcid Image ;   Shanshan Song1 Author Orcid Image ;   Shiqi Wang1 Author Orcid Image ;   Mingjun Sun1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yuan Lian   1 * , MS ;   Xinping Qiu   1 , MBBS ;   Geli Wang   1 , MBBS ;   Nannan Liu   1 , MBBS ;   Jing Zhao   1 , MBBS ;   Shanshan Song   1 , MBBS ;   Shiqi Wang   1 , MS ;   Mingjun Sun   1, 2 * , MD

1 Department of Gastroenterology, Fuxin Mining General Hospital of Liaoning Health Industry Group, Fuxin, China

2 Department of Gastroenterology, The First Hospital of China Medical University, Shenyang, China

*these authors contributed equally

Corresponding Author:

  • Yuan Lian, MS
  • Department of Gastroenterology
  • Fuxin Mining General Hospital of Liaoning Health Industry Group
  • No.43,Health Care Street,Haizhou District
  • Fuxin
  • China
  • Phone: 86 18341893085
  • Email: lianchao919@163.com