Machine learning-based risk factors for acute-on-chronic liver failure in alcohol-associated liver disease
We developed a robust clinical prediction model combining LR and machine learning approaches. TBIL, folate, VitB12 and ΔPT are key prognostic markers that may enable early risk stratification and timely intervention, potentially reducing ACLF incidence in ALD patients.
Authors
- Jing Pan (ORCID: https://orcid.org/0000-0002-8785-0336)
- Yan Wang
- Linhui Hu
- Suthat Liangpunsakul
- Hao Cheng
Institutions
- Peking University (CN)
- Peking University First Hospital (CN)
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2026-01-30
- DOI
- https://doi.org/10.1080/07853890.2026.2621522
- Primary Topic
- Alcohol Consumption and Health Effects
- Type
- article
- Field-Weighted Citation Impact
- 0.00