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Updated: Jun 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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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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对于具有异质个性化治疗效应的最佳治疗方案,惩罚强有力的学习

Canhui Li1, Weirong Li1, Wensheng Zhu1

  • 1Key Laboratory for Applied Statistics of MOE and School of Mathematics and Statistics, Northeast Normal University, Changchun, People's Republic of China.

Journal of applied statistics
|April 17, 2024
PubMed
概括

个性化医疗需要针对异质患者群体的个性化治疗方案. 本研究引入了一种惩罚性强硬学习方法,用于从高维数据中估计最佳治疗策略,改进现有方法.

关键词:
个性化治疗方案 个性化治疗方案这是双重罚款.不同质性的异质性一致性是一致性.其他残留物.稀缺性是一种稀缺性.

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An R-Based Landscape Validation of a Competing Risk Model05:37

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