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SHAP combined with machine learning to predict mortality risk in maintenance hemodialysis patients: a retrospective study
5
Zitationen
5
Autoren
2025
Jahr
Abstract
The K-Nearest Neighbor model demonstrated high efficacy in predicting mortality risk among hemodialysis patients. SHAP analysis highlighted critical risk factors. While these findings show promise for future clinical research, they should be interpreted with caution due to the study's retrospective design and the need for external validation.
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