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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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Published on: October 10, 2018

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電子医療記録データで訓練された機械学習による電気治療の必要性を予測する

Lasse Hansen1,2,3, Jakob Grøhn Damgaard1,2,3, Robert M Lundin4,5,6

  • 1Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

Acta neuropsychiatrica
|February 12, 2026
PubMed
まとめ

電子医療記録 (EHR) を用いて,電気ショック療法 (ECT) の必要性を予測することで,重度の精神疾患の適切な治療が可能になります. 機械学習モデルは,ECTを必要とする患者を正確に特定し,患者のアウトカムを改善しました.

キーワード:
電気療法による治療法です.機械学習 (Machine Learning) とは,機械学習 (Machine Learning) について学ぶことです.予測アルゴリズム,電子医療記録精神科医は精神病を患っている.

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