一个基于人工智能的框架,用于预测紧急部门过度拥挤:开发和评估研究研究

Orhun Vural1, Bunyamin Ozaydin2,3, Khalid Y Aram4

  • 1Department of Electrical and Computer Engineering, School of Engineering, University of Alabama at Birmingham, Birmingham, AL, United States.

JMIR medical informatics
|September 17, 2025
PubMed
概括

机器学习模型准确地预测每小时和每天的急诊室 (ED) 等待数. 这些工具允许主动分配资源,以减少ED过度拥挤和改善患者流动.

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