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Updated: May 13, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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CRISP:一个因果关系引导的深度学习框架,用于先进的ICU死亡率预测

Linna Wang1, Xinyu Guo2, Haoyue Shi3

  • 1College of Computer Science, Sichuan University, 24 South Section 1, 1st Ring Road, Chengdu, Sichuan, 610065, China.

BMC medical informatics and decision making
|April 15, 2025
PubMed
概括

这项研究引入了CRISP模型,这是一种用于预测重症监护病房患者死亡率的新型深度学习方法. 通过结合因果关系,CRISP提高了概括性和稳定性,解决了现有模型的局限性.

关键词:
因果机器学习是一种因果机器学习.阶级不平衡造成的不平衡临床决策支持 临床决策支持预测死亡率的预测.

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