Development and validation of an inflammatory index-based interpretable machine learning model for mortality risk stratification in hemodialysis patients
The interpretable stacking model enables accurate mortality risk stratification for hemodialysis patients. Future multi-center validation and multi-modal data integration will enhance its generalizability for clinical application.
Authors
- Zhuping Wen
- Zhenhua Yang
- Peng Shu
- Xia Wang
- FANG Xu
Institutions
- Central Hospital of Wuhan (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1186/s40001-026-03846-7
- Primary Topic
- Dialysis and Renal Disease Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00