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

• Published in: JMIR medical informatics Vol. 13; p. e71229
• Main Authors: Chen, Hsin-Yu, Cheng, Yiu-Hua, Yeh, Wei-Chung, Chen, Yi-Chuan, Tsai, Yi-Wen
• Format: Journal Article
• Language: English
• Published: Canada JMIR Publications 06.08.2025
• Subjects: Adult; Aged; Artificial Intelligence; Clinical Information and Decision Making; Decision Support for Health Professionals; Female; Gastroenterology and Hepatology; Hepatic Encephalopathy - diagnosis; Hepatic Encephalopathy - etiology; Humans; Liver Cirrhosis - complications; Longitudinal Studies; Machine Learning; Male; Middle Aged; Original Paper; Prognosis; Retrospective Studies; Taiwan - epidemiology; Taiwan; machine learning model; noncancer-related liver diseases; prognostication; cirrhosis; hepatic encephalopathy

Hepatic encephalopathy (HE) contributes significantly to mortality among patients with liver cirrhosis. Early prediction of HE is essential for clinical decision-making, yet remains challenging-particularly in noncancer-related cirrhosis due to the unpredictable disease course. This study aimed to d...