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 D Vitamins 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 predicted outcomes, actionable and practical r