敗血症関連血小板減少症の診断におけるXGBoostの他の機械学習モデルに対する優位性:多施設共同後ろ向き研究
Busra Emir1, Evrim Ozmen2, Sukriye Miray Kilincer Bozgul3
1Department of Biostatistics, Faculty of Medicine, Izmir Katip Celebi University, Izmir, Türkiye.
Frontiers in medicine
|February 25, 2026
まとめ
機械学習モデルは敗血症関連血小板減少症を正確に診断する。Extreme Gradient Boosting (XGBoost) は最高のパフォーマンスを示し、敗血症管理における臨床的意思決定のための有望なツールを提供する。
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