Machine learning-based prediction of hernia risk in peritoneal dialysis patients: a comparative study of models and SHAP-driven interpretability analysis
The RF model achieves high-accuracy and interpretable hernia risk prediction in PD patients. The R Shiny-based online tool facilitates clinical risk stratification and early intervention, improving patient prognosis.
Authors
- Yugang Cao
- Jun Guo
- Fang Tao (ORCID: https://orcid.org/0009-0005-3447-0224)
- Xun Hu
Institutions
- Hubei Polytechnic University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-03-04
- DOI
- https://doi.org/10.3389/fmed.2026.1687055
- Primary Topic
- Hernia repair and management
- Type
- article
- Field-Weighted Citation Impact
- 0.00