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Updated: Mar 13, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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有效和强大的转移学习最佳个性化治疗方案与正确审查的生存数据

Pan Zhao1, Julie Josse2, Shu Yang3

  • 1Statistical Laboratory, University of Cambridge.

Journal of machine learning research : JMLR
|March 12, 2026
PubMed
概括

本研究引入了一个转移学习框架,用于为目标人群创建最佳的个性化治疗方案 (ITR),使用随机对照试验 (RCT) 和观察性研究 (OS) 的综合数据. 该方法确保治疗决策有效地泛化,即使数据异质.

关键词:
一个共变的轮班.数据整合数据集成.政策学习学习政策学习半参数理论 半参数理论便携性 便携性 便携性

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