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Updated: May 16, 2025

Integrated Compensatory Responses in a Human Model of Hemorrhage
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自然语言处理用于识别住院医疗病人的重大出血风险

Anne Bryde Alnor1, Rasmus Bank Lynggaard2, Martin Sundahl Laursen2

  • 1Department of Clinical Biochemistry, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark; Department of Clinical Research, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark.

Computers in biology and medicine
|March 31, 2025
PubMed
概括

大型出血影响2.7%的住院医疗患者. 关键的危险因素包括年龄,男性性别和肌氨酸升高,生化标志物显示出强大的预测价值.

关键词:
深度学习是一种深度学习.电子健康记录是电子健康记录.这是出血.机器学习 机器学习

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