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Updated: Jul 22, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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使用警报停留时间来过通用临床警报:一种机器学习方法.

Shuo-Chen Chien1, Hsuan-Chia Yang2, Chun-You Chen3

  • 1Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan; Artificial Intelligence Research and Development Center, Wan Fang Hospital, Taipei Medical University, Taipei 110, Taiwan; International Center for Health Information and Technology, College of Medical science and Technology, Taipei Medical University, Taipei 110, Taiwan.

Computer methods and programs in biomedicine
|July 22, 2023
PubMed
概括

使用警报停留时间和人口统计特征的机器学习模型有效地过了计算机化医生订单输入 (CPOE) 系统中的无关警报. 这种方法通过优先考虑医生对上下文敏感的警报来减少警报疲劳.

关键词:
警报停留时间警报疲劳的情况具有背景意识的警报发生中断的警报.机器学习是机器学习.

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