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Updated: Sep 18, 2025

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
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风险预警模型用于预测长期班次的医疗保健工作者睡眠障碍

Xin Li1, Long Xiao2, Benqi Shi2

  • 1Department of PCCM, CR and WISCO General Hospital, Wuhan University of Science and Technology, Wuhan, 430080 Hubei Province China.

Sleep and biological rhythms
|June 20, 2025
PubMed
概括

一个新的基于SMOTE的模型准确地预测了长期轮班工作的医疗保健工作者睡眠障碍. 这种方法改善了轮班工人的早期干预.

关键词:
长期的转变是长期的转变.医务人员 医疗人员预测SD的SD的预测风险预警模型风险预警模型在SMOTE中使用.

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