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.

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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
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article

Machine learning-based prediction of hernia risk in peritoneal dialysis patients: a comparative study of models and SHAP-driven interpretability analysis

Yugang Cao, Jun Guo, Fang Tao, Xun Hu
Frontiers in Medicine
Hernia repair and management
article

Machine learning-based prediction of hernia risk in peritoneal dialysis patients: a comparative study of models and SHAP-driven interpretability analysis

Yugang Cao, Jun Guo, Fang Tao, Xun Hu
article en

Abstract

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.

Frontiers in MedicineVol. 13
Hubei Polytechnic University (CN)
Good health and well-being
Openalex Percentile: Top 34%
Hernia repair and management
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