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Updated: Feb 14, 2026

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ヘモダイナミック不安定性の予測と,トラウマおよび外科手術後のケアにおける出血管理のための機械学習

Joshua Le1, Walter Rusin2, Alexandre Joosten2

  • 1Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.

Current opinion in anaesthesiology
|February 13, 2026
PubMed
まとめ

機械学習モデルは,トラウマ患者における血液動力学的不安定性と出血の早期発見に希望を示しています. しかし,臨床採用には,これらの意思決定支援ツールのデータ品質,一般化,ワークフロー統合の改善が必要です.

キーワード:
ヘモダイナミック不安定性出血の管理についてです.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.術後のトラウマケアについて予測分析 (Predictive Analytics) とは,予測分析を目的としたものです.

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