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Updated: May 28, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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机器学习方法可以使用随机对照试验来预测个性化治疗效果

Rikuta Hamaya1,2, Konan Hara3, JoAnn E Manson4,5,6

  • 1Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 900 Commonwealth Avenue East, Boston, MA, USA. rhamaya@bwh.harvard.edu.

European journal of epidemiology
|February 13, 2025
PubMed
概括

机器学习方法可以通过分析单个随机对照试验 (RCT) 的异质治疗效应 (HTE) 来预测个体患者对治疗的反应. 像DR和R学习器这样的先进方法对于复杂的高维数据是有效的.

关键词:
有条件的平均治疗效果.异质的治疗效果 异质的治疗效果机器学习就是机器学习.随机对照试验是随机对照试验.减肥干预措施可以减轻体重.

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