敗血症患者における認知機能障害予測のための解釈可能な機械学習モデルの開発と検証
Guisheng Liang1, Mo Lu1, Yurong Pan2
1Department of Critical Care Medicine, Shenzhen Baoan Shiyan People's Hospital, Shenzhen, China.
Frontiers in medicine
|February 6, 2026
まとめ
機械学習は敗血症後認知機能障害を正確に予測する。年齢、敗血症性ショック、SOFAスコアなどの主要な危険因子は、リスクのある患者の早期介入を可能にする。
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