Construction and validation of a machine learning-based model predicting early readmission in patients with decompensated cirrhosis: a prospective two-center cohort study
The final explainable ML model was capable of predicting early readmission and was closely connected with adverse outcomes in individual patients experiencing decompensated cirrhosis. Notably, it allayed the "black-box" concerns inherent to ML techniques with an indirect interpretation.
Authors
- Ziyi Yang (ORCID: https://orcid.org/0000-0002-4138-5598)
- Chao Sun (ORCID: https://orcid.org/0000-0002-0380-7999)
- Liping Wu (ORCID: https://orcid.org/0000-0002-1615-3832)
- Han Wang (ORCID: https://orcid.org/0000-0001-5968-2171)
- Fang Yang (ORCID: https://orcid.org/0000-0002-9682-659X)
- Jia Li (ORCID: https://orcid.org/0000-0003-3224-001X)
Institutions
- Tianjin Medical University General Hospital (CN)
- Third People's Hospital of Chengdu (CN)
- Tianjin Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- BioData Mining
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1186/s13040-025-00479-0
- Primary Topic
- Liver Disease and Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 0.00