首页|Second Hospital of Hebei Medical University Researchers Update Current Study Findings on Machine Learning (Analysis of the fatigue status of medical security personnel during the closed-loop period using multiple machine learning methods: a …)
Second Hospital of Hebei Medical University Researchers Update Current Study Findings on Machine Learning (Analysis of the fatigue status of medical security personnel during the closed-loop period using multiple machine learning methods: a …)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ar tificial intelligence. According to news originatingfrom Second Hospital of Heb ei Medical University by NewsRx correspondents, research stated, “Usingmachine learning methods to analyze the fatigue status of medical security personnel and the factorsinfluencing fatigue (such as BMI, gender, and wearing protective cl othing working hours), with the goal ofidentifying the key factors contributing to fatigue. By validating the predicted outcomes, actionable andpractical reco mmendations can be offered to enhance fatigue status, such as reducing wearing p rotectiveclothing working hours. A questionnaire was designed to assess the fat igue status of medical securitypersonnel during the closed-loop period, aiming to capture information on fatigue experienced during workand disease recovery.”Funders for this research include Hebei Medical Science Research Projects.
Second Hospital of Hebei Medical UniversityCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
