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

Machine Learning (2051) Clinical Information and Decision Making (1894) Decision Support for Health Professionals (1522) Artificial Intelligence (2090) Gastroenterology and Hepatology (123)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71229, first published .
A Machine Learning–Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Patients With Noncancer-Related Cirrhosis: Multicenter Longitudinal Cohort Study in Taiwan

A Machine Learning–Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Patients With Noncancer-Related Cirrhosis: Multicenter Longitudinal Cohort Study in Taiwan

A Machine Learning–Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Patients With Noncancer-Related Cirrhosis: Multicenter Longitudinal Cohort Study in Taiwan

Authors of this article:

Hsin-Yu Chen1 Author Orcid Image ;   Yiu-Hua Cheng1, 2 Author Orcid Image ;   Wei-Chung Yeh1, 2 Author Orcid Image ;   Yi-Chuan Chen2, 3, 4 Author Orcid Image ;   Yi-Wen Tsai2, 3, 4, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Eskandar K. Artificial Intelligence in Hepatology: A Comprehensive Scoping Review of Clinical Applications, Challenges, and Future Directions. iLIVER 2025:100205 View