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Updated: Jun 23, 2025

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基于急诊室严重疾病风险的患者分层通过协作机器学习模型

Jui-Ying Chen1, Chih-Chia Hsieh1, Jung-Ting Lee2

  • 1Department of Emergency Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

The American journal of emergency medicine
|June 22, 2024
PubMed
概括

一个新的机器学习 (ML) 模型通过提供严重疾病的风险评分,提高患者分层和护理来改善急诊室 (ED) 选. 这种协作模式的表现优于人类的判断力,从而提高了患者的安全性.

关键词:
应急部门的紧急情况.机器学习 机器学习患者风险分层的分层.

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