Key result
A physical health monitoring system based on a big data platform demonstrated good reliability and stability in simulation results, improving the ability to monitor college students' physical health.
Why the study?
The study was designed to improve the ability of college students' physique health monitoring.
A big data platform-based physical health monitoring system for college students demonstrated good reliability and stability in simulations.
Answers are grounded in this paper and cite their sources.
Does not support clinical adoption; leaves open real-world validation of big data monitoring in students.
In order to improve the ability of college students' physique health monitoring, this paper puts forward the method of college students' physique health monitoring based on big data platform, constructs the college students' physique health information collection model based on the multi-feature information sampling, integrates the collected college students' physique health information big data, extracts the association rule characteristic set of college students' physique health information, fits the college students' physique health statistics, extracts the fuzzy correlation fusion characteristic of the running state statistics, carries on the fuzzy fusion cluster processing to the college students' physique health statistics of comprehensive data, and realizes the college students' physique health monitoring under the Internet of things. The simulation results show that the method has good reliability and stability, and improves the ability of college students' physique health and stability.
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Yuping Jiao (2020) studied College students' physical health. Physical health monitoring system based on big data platform was evaluated on Reliability and stability of the monitoring method. A physical health monitoring system based on a big data platform demonstrated good reliability and stability in simulation results, improving the ability to monitor college students' physical health.
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