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Updated: Jul 17, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于机器学习的诺米克图用于预测患有肝硬化肝细胞癌的老年患者的整体存活率,这些老年患者正在接受废除疗法

Wenying Qiao1,2,3,4,5, Shugui Sheng1,2,3, Junnan Li1,2,3

  • 1Beijing Key Laboratory of Emerging Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.

Journal of hepatocellular carcinoma
|March 12, 2024
PubMed
概括

一个新的诺米图预测了在废除疗法后患有肝硬化肝细胞癌 (HCC) 的老年患者的存活率. 该工具有助于识别高风险个体,以进行量身定制的治疗和监测.

关键词:
在HCC中,HCC是HCC.拉索回归法 (Lasso Regression) 是一种回归法.这就是OS OS OS OS.在RSF中使用RSF.肝细胞癌是肝细胞癌.这个名字是名ogramogram.总体存活率 总体存活率随机生存森林 随机生存森林

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