Research on Sports and Health Intelligent Diagnosis Based on Cluster Analysis

In order to explore the relationship between sports and health and improve the scientific nature of sports, this paper uses cluster analysis algorithm as the basis, adopts the entropy estimation method for small sample sets to estimate the information entropy value, and improves the mutual informati...

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Bibliographic Details
Published in:Scientific programming 2021-12, Vol.2021, p.1-11
Main Authors: Lian, Zhiqiang, Liu, Shanyun, Lu, Jieming, Zhou, Luxing
Format: Article
Language:English
Subjects:
Algorithms
Blood vessels
Children & youth
Cluster analysis
Clustering
Cognition & reasoning
Demand analysis
Diagnosis
Entropy (Information theory)
Exercise
Expected values
Family income
Girls
Human body
Lifestyles
Metabolism
Obesity
Personality
Personality traits
Physical fitness
Public health
Random variables
Sports
Weight control
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Summary:In order to explore the relationship between sports and health and improve the scientific nature of sports, this paper uses cluster analysis algorithm as the basis, adopts the entropy estimation method for small sample sets to estimate the information entropy value, and improves the mutual information estimation to propose a mutual information estimation method based on entropy estimation. Moreover, this paper uses a clustering algorithm to combine sports and health intelligent diagnosis requirements to construct a system structure. The system recommends better sports suggestions to the user according to the user’s physical condition, makes sports plans according to the user’s health, and can also analyze the user’s sports process. In addition, on the basis of demand analysis, this paper designs experiments to test the performance of the system constructed in this paper. From the experimental statistical results, it can be seen that the system constructed in this paper can basically meet the actual needs of sports and health intelligent diagnosis. At the same time, this paper proves that there is a strong correlation between sports and health.
ISSN:1058-9244
1875-919X
DOI:10.1155/2021/4872947