Analysis of the Model for Sports Enhancing Human Health Using Data Mining.

Ruiqing Wang,Lei Han

doi:10.1155/2022/3416255

Ruiqing Wang, Lei Han

Open Access

https://doi.org/10.1155/2022/3416255

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Abstract

The problems of low reliability and the high fitting degree of mutual information feature extraction of traditional sports to human health enhancement model are analyzed. We analyze and study the sports to human health enhancement model using data mining. The model consists of a data layer, a logic layer, and a presentation layer. Sports project data, real-time sports data, and health monitoring data are collected in the data layer, and the collected data are transmitted to the logic layer. The logical layer uses the dynamic difference feature classification algorithm of data mining to fuse human health data, extract the mutual information features of human health, and input the features into the long short-term memory (LSTM) neural network, which outputs the pattern recognition results of sports health after forward and reverse operations. The results of sports health pattern recognition are input into the display layer, and the enhancing effect of sports on human health is presented for users by constructing a model of sports on human health. The results show that the effect of sports on human health enhancement analyzed by the model in this paper is extremely accurate, which can significantly improve the health level of community residents and college students. When the number of data is about 600, it remains at about 0.05, indicating that this model has high reliability, and the fitting degree of mutual information feature extraction is up to 99.82%. It has certain practical application value.

Highlights

Obese people have a higher incidence of hypertension, arteriosclerosis, and osteoporosis. erefore, more and more people pay attention to their health
Baqueri et al [2] established the exercise schedule of relevant research objects by simulating residents’ travel and activities outside the study area, preprocessed all data with fees, and analyzed high-intensity tourism activities with relevant data to achieve the effect of human health enhancement
Zheng and Haifeng [5] studied the model of the effect of exercise with the same intensity on the amount of abdominal visceral fat, which can be used to obtain the changes of human visceral fat at different exercise intensities

Summary

Introduction

Obese people have a higher incidence of hypertension, arteriosclerosis, and osteoporosis. erefore, more and more people pay attention to their health. Different exercise intensities and exercise modes can enhance human health at varying degrees. Baqueri et al [2] established the exercise schedule of relevant research objects by simulating residents’ travel and activities outside the study area, preprocessed all data with fees, and analyzed high-intensity tourism activities with relevant data to achieve the effect of human health enhancement. We can obtain such information as to whether people’s current diet is reasonable and the impact of sports training intensity on their health. Zheng and Haifeng [5] studied the model of the effect of exercise with the same intensity on the amount of abdominal visceral fat, which can be used to obtain the changes of human visceral fat at different exercise intensities

Methods

Results

Conclusion