Enhancing feature importance analysis with Spearman's correlation with p-values: Recommendations for improving PHLF prediction

被引：0
|
作者：
Pan, Haoqian [1 ]
Takefuji, Yoshiyasu [1 ]
机构：
[1] Musashino Univ, Fac Data Sci, 3-3-3 Ariake Koto Ku, Tokyo 1358181, Japan
来源：
EJSO | 2025年 / 51卷 / 07期
关键词：
Post-hepatectomy liver failure (PHLF); Machine learning models; Feature importance; XGBoost; Random forest; SHAP (shapley additive explanations);
D O I：
10.1016/j.ejso.2025.109687
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
引用
收藏
页数：2
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