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Updated: Jul 9, 2026

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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使用机器学习预测阿巴特塞普特保留率

Rieke Alten1, Claire Behar2, Pierre Merckaert3

  • 1Schlosspark-Klinik University, Berlin, Germany. Rieke.alten@schlosspark-klinik.de.

Arthritis research & therapy
|February 1, 2025
PubMed
概括

机器学习模型可以预测在接受 abatacept 的类风湿性关节炎 (RA) 患者的 12 个月治疗持续时间. 关键预测因素包括较低的体重指数 (BMI),更好的功能状态,抗素蛋白抗体 (ACPA) 阳性以及年轻的年龄.

关键词:
这就是Abatacept.机器学习是机器学习.储存 储存 储存 储存 储存类风湿性关节炎 类风湿性关节炎 类风湿性关节炎对治疗的反应反应.

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