Development and external validation of a machine learning model for predicting in-hospital mortality in acute liver failure
This study presents an interpretable and externally validated ML model for predicting in-hospital mortality in ALF, providing a practical tool for early in-hospital dynamic risk stratification and clinical decision support.
Authors
- Q. Y. Song
- Xiunan Wang (ORCID: https://orcid.org/0000-0003-4070-4101)
- Xuanlin Wu (ORCID: https://orcid.org/0009-0002-0343-2346)
- Ruiwei Yang
- Zixuan Liu
- Huawei Yang
- Delin Li
- Yukun He
Institutions
- Guangxi Medical University (CN)
Publication Details
- Journal
- Digestive and Liver Disease
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1016/j.dld.2026.01.226
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Wu Jieping Medical Foundation