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Updated: Jan 24, 2026

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从血液动力学到风险:基于人工智能的早期预测得到了一般和烧伤ICU人群的验证

Louis Boutin1,2,3, Fedi Kadri4, Arij Chaftar4

  • 1Department of Anaesthesiology and Intensive Care, Université Paris Cité, Hôpital Européen Georges Pompidou, AP-HP, 20 rue Leblanc, Paris 75015, France.

European heart journal. Digital health
|January 23, 2026
PubMed
概括

仅使用生理数据的机器学习模型可以预测重症患者的急性损伤 (AKI) 和重大不良事件 (MAKE). 这些模型提供了早期的,主动的心脏风险分层,即使在严重烧伤等高压力情况下.

关键词:
急性损伤是什么?急性损伤是什么?主要的脏不良事件预测 预测 预测血清中的肌氨酸.

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