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Updated: Feb 14, 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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機械学習駆動型パーソナライズされたリスク予測:関節炎を患っている高齢のヨーロッパ人成人のための説明可能なサルコペニアモデルの開発

Xiao Xu1,2

  • 1Research Center of Molecular Medicine (PhD Lab), Faculty of Nursing, Nantong Health College of Jiangsu Province, Nantong 226001, China.

Journal of clinical medicine
|February 13, 2026
PubMed
まとめ

この研究では,9つの主要指標を使用して,関節炎の高齢者のサルコペニアリスクを予測するための説明可能な機械学習モデルを開発しました. このモデルは,ターゲットを絞った介入のための正確な早期スクリーニングを提供します.

キーワード:
関節炎による関節炎です.機械学習 (Machine Learning) とは,機械学習 (Machine Learning) とは,機械学習 (Machine Learning) と呼ばれるものです.サルコペニア・サルコペニア (Sarcopenia) とは,サルコペニア (Sarcopenia) とは,サルコペニア (Sarcopenia) とは,サルコペニア (Sarcopenia) とは,サルコペニア (Sarcopenia) とは,サルコペニア (Sarcopenia) とは

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