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 predicted outcomes, actionable and practical recommendati

The terms traditional and modern and the processes thereof are often discussed in isolation; as if they do not intersect.Some scholars have argued that chieftaincy, as a traditional form of governance in South Africa cannot coexist with modern democratic governance.Additional discussions have separated agrarian activities from modern economy.This a

Kepemimpinan yang ada di Universitas Lancang Kuning saat ini dinilai sudah cukup baik.Namun kepemimpinan tidak akan berlangsung selamanya, dan di Unilak periode kepemimpinan adalah selama 4 tahun.Untuk mempertahankan maupun melakukan perubahan kepemimpinan yang baik itu, memerlukan pola aturan dan tata cara, supaya ketika dilakukan pemilihan Rektor

INTRODUCTION: Vaccines safety are monitored by looking for Adverse Events Following Immunizations (AEFIs).A review of the 2014 Harare City consolidated monthly return form (T5) revealed that Two-Piece Knit Tops 28 AEFIs were seen in 2014.However, only 21 were reported through the system.We therefore evaluated the Harare City AEFI surveillance syste