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Updated: Jan 31, 2026

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评估部分依赖图的方法适用性和沙普利的附加解释,用于在全关节关节整形术中对机器学习模型的种群级解读

Kole Joachim1, Othneil Sparks1, Amanda Perrotta1

  • 1David Geffen School of Medicineat at the University of California, Los Angeles, CA, 90095, USA.

Arthroplasty (London, England)
|January 30, 2026
PubMed
概括

部分依赖图 (PDP) 对于在全关节整形术 (TJA) 后制定临床指导方针来说,比Shapley添加解释 (SHAP) 更好. PDP提供了人群风险值和剂量反应关系,这对于改善患者护理至关重要.

关键词:
可以解释性 解释性机器学习 机器学习部分依赖情节的情节.术后并发症 术后并发症风险预测风险预测这就是 SHAP SHAP 的意思.整体关节关节整形术 整体关节整形术

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