Analysis of the fatigue status of medical security personnel during the closed-loop period using multiple machine learning methods: a case study of the Beijing 2022 Olympic Winter Games

Analysis of the fatigue status of medical security personnel during the closed-loop period using multiple machine learning methods: a case study of the Beijing 2022 Olympic Winter Games

Abstract Using machine learning methods to analyze the fatigue status of medical security personnel and the factors influencing fatigue (such as BMI, gender, and wearing protective clothing working hours), with the goal of identifying the key factors contributing to fatigue. By validating the predic...

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Bibliographic Details
Main Authors: Hao Xiao, Yingping Tian, Hengbo Gao, Xiaolei Cui, Shimin Dong, Qianlong Xue, Dongqi Yao
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Medical security
Questionnaire survey
Fatigue analysis
Machine learning
Case study
Online Access:https://doi.org/10.1038/s41598-024-59397-6

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