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Updated: Jan 9, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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解释个性化治疗规则:将LIME和SHAP与Xgboost集成到精准医学中

Zihuan Liu1, Xin Huang1

  • 1Data and Statistical Sciences, AbbVie Inc., North Chicago, Illinois, USA.

Statistics in medicine
|December 2, 2025
PubMed
概括

这项研究通过整合可解释的模型来增强精准医学. 它使用排列测试和解释技术 (LIME,SHAP) 来识别治疗效果异质性并改进个性化治疗规则 (ITR).

关键词:
沙普利的价值是什么意思因果机器学习是因果机器学习.模型的解释性可解释性调配试验试验 调配试验预测性生物标志物 预测性生物标志物

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