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Updated: Sep 9, 2025

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認知症患者の5年生存率と死亡率を予測する: XGBoostを用いたデータ主導のアプローチ

Yi-Guang Wang1,2, Hsin-An Chang1, Mu-Hong Chen3

  • 1Department of Psychiatry, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan.

Psychiatry investigation
|August 29, 2025
PubMed
まとめ

この研究では,認知症患者の5年生存率を予測する eXtreme Gradient Boosting (XGBoost) モデルを開発しました. ナソガストリックチューブ挿入や慢性腎臓病などの主要な予測要因は,標的治療を導くために特定されました.

キーワード:
併発症認知症ヘルスケア機械学習死亡率XGBoost について

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