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
Journals
- Eskandar K. Artificial intelligence in hepatology: A comprehensive scoping review of clinical applications, challenges, and future directions. iLIVER 2025;4(4):100205 View
- Li Y, Li Z, Li Y, Feng Y, Wang X. Machine learning-based prediction models for liver-related events in patients with hepatitis B-related cirrhosis and clinically significant portal hypertension. World Journal of Gastroenterology 2026;32(4) View
- Yang X, Ma H, Zhu M, Song X, Feng J. Integrated Deep Learning Surveillance of Unknown Pathogens with Pandemic Potential Using Pneumonia of Unknown Etiology. Pathogens 2026;15(4):413 View
- Ntuli Y, Ibrahimi M, Kronsten V, Shawcross D. Hepatic encephalopathy in chronic liver disease: Emerging insights from the gut microbiome. JHEP Reports 2026;8(12):102022 View
- Guo F, Zhong S, Tan Y, Yang Y, Chen F, Hu Q, Zhang Y, Zhu H, Ren S. Development and validation of an interpretable machine learning model for predicting in-hospital mortality among critically ill patients with liver cirrhosis. Scientific Reports 2026;16(1) View