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Updated: Feb 2, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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用人工智能预测创伤患者的医院前输血需求:一项跨国,基于注册表的,追溯的,机器学习开发和验证研究

Manuel Sigle1, Matthias Boos2, Tim Weiss3

  • 1Department of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany.

The Lancet. Digital health
|January 31, 2026
PubMed
概括

机器学习准确地预测创伤患者的医院前输血需求,识别出那些高风险的出血性休克. 这种由人工智能驱动的方法可以改善早期干预和资源分配,可能挽救生命.

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