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Updated: Jun 23, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于米素度-时间曲线下的面积,预测米素相关的毒性:机器学习分析

Shotaro Mizuno1,2, Tsubura Noda3, Kaoru Mogushi4

  • 1Department of Pharmacokinetics and Pharmacodynamics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University.

Biological & pharmaceutical bulletin
|November 27, 2024
PubMed
概括

一个新的机器学习模型使用度-时间曲线 (AUC) 下的面积准确地预测了与菌素 (VCM) 相关的毒性. 该模型比传统方法识别了更多的VCM诱导的损伤病例,从而改善了患者的护理.

关键词:
机器学习是机器学习.毒性 毒性 毒性预测 预测 预测 预测这就是Vancomycin.

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