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

Reviews in Medical Informatics (114) Machine Learning (2081) Decision Support for Health Professionals (1548) Clinical Information and Decision Making (1927) Artificial Intelligence (2144) AI Language Models in Health Care (206) Computer-Aided Diagnosis (252) Gastroenterology and Hepatology (130)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76348, first published .
Coagulation Risk Prediction in Patients With Liver Failure: Integrated Meta-Analysis and Machine Learning Model Study

Coagulation Risk Prediction in Patients With Liver Failure: Integrated Meta-Analysis and Machine Learning Model Study

Coagulation Risk Prediction in Patients With Liver Failure: Integrated Meta-Analysis and Machine Learning Model Study

Authors of this article:

Hao Wang1 Author Orcid Image ;   Tao He1 Author Orcid Image ;   Liang Ren1 Author Orcid Image ;   Tingjun Zhang1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Hao Wang   1 * , BS ;   Tao He   1 * , MS ;   Liang Ren   1 , BS ;   Tingjun Zhang   1 , PhD

1 Affiliated Hospital of North Sichuan Medical College, Nanchong, China

*these authors contributed equally

Corresponding Author:

  • Hao Wang, BS
  • Affiliated Hospital of North Sichuan Medical College
  • No.1 Maoyuan South Road, Shunqing District
  • Nanchong 637000
  • China
  • Phone: 86 15882606937
  • Email: 15882606937@163.com