National Sports AI Health Management Service System Based on Edge Computing

Abstract

With the development of the economy, people’s living standards continue to improve, and the management awareness of their own health and safety has gradually increased. The human body usually has a long process of transition from being healthy to the appearance of disease, and people’s lifestyle and daily behavior will affect the health of the body to a large extent. This paper studies the national sports AI health management service system based on edge computing. This paper organically combines edge computing, artificial intelligence, and health management service systems. Through detection devices with smart sensors and smart health systems, a comprehensive health management service platform for the masses is constructed to promote the development of sports health management services. Upgrade and transform to make it more in line with the modern intelligent environment. The advancement of modern technology has gradually transformed my country’s traditional health record management service to an intelligent electronic health record management system. From the experimental data, it can be seen that the filing rate and pass rate of residents’ electronic files have reached 88.275% and 87.435%, but the utilization rate of health files is only 31.685%. The establishment of a supporting health management service system is precisely to effectively increase the utilization rate of health files, so that users can truly enjoy intelligent, professional, and real-time health services.

Optimization of the Intelligent Sports Health Management System Based on Big Data Technology and Internet of Things

“…And there are a lot of studies on health management systems. The comprehensive health management service platform for the public is proposed in [17], which promotes the development of sports health management services through intelligent sensors and intelligent health system detection equipment. Aiming at the problems of a long cycle and high cost of existing intelligent sports health management systems, an improved particle swarm optimization algorithm is proposed in [18] to optimize the intelligent sports health management system.…”