Abstract
With the continuous development of China's cultural industry, people's health has become one of the topics of the highest concern. Therefore, all the application models of physical health test data in the actual analysis have become the current research focus and trend direction of healthy constitution. This paper summarizes the significant problems in the analysis of physical health test data, through the comprehensive analysis and investigation of physical health test data, combined with the measurement of the test indicators, through the analysis and processing system of youth physical health data, the use process of national youth group physical health standard data management software, and decision tree intelligent algorithm in physical health. The research steps of test data analysis and application model summarize the application characteristics of physical health test data in the application process. Based on this, a decision tree intelligent algorithm is proposed, and the corresponding functions and optimization formulas of the algorithm are substituted. In the process of actual sample checking calculation, each weight range and corresponding errors are inferred and analyzed by combining examples. This paper summarizes the application model and optimization model of health test data analysis based on decision tree intelligent algorithm. Through the repeated test of the research data, the feasible area and application scope of the algorithm are obtained, and the practical optimization scheme and application ideas under the algorithm are obtained.
Highlights
With the continuous expansion of our country’s control over physical health, our achievements in physical health testing have gradually become the focus of attention of all sports groups and show an excellent development trend
Erefore, in the questionnaire survey, we can use association rules to explore the rules in the actual physical health test process and take this as the analysis data to calculate the actual evaluation index and its health rules under the quantitative table and draw the conclusion that each worker in the questionnaire has two or more positive psychological problems, mainly manifested as depression and obsessive-compulsive disorder
Is paper focuses on the current detection modes of physical health test, discusses how to reflect the difference of physical health test data and its physical condition comprehensively, analyzes the decision tree intelligent algorithm and the application model of physical health test data analysis under the algorithm in combination with various vector and variable indexes, and summarizes the optimal model of physical health test data
Summary
With the continuous expansion of our country’s control over physical health, our achievements in physical health testing have gradually become the focus of attention of all sports groups and show an excellent development trend. Is paper focuses on the current detection modes of physical health test, discusses how to reflect the difference of physical health test data and its physical condition comprehensively, analyzes the decision tree intelligent algorithm and the application model of physical health test data analysis under the algorithm in combination with various vector and variable indexes, and summarizes the optimal model of physical health test data On this basis, the algorithm function of each research index is substituted to carry out the survey of each test area, and the element indexes under the behavior detection algorithm are integrated and classified. The second part focuses on the comprehensive discussion of the decision tree intelligent algorithm mode based on the analysis of the physical health test data, including the decision tree intelligent algorithm and the physical health test data analysis system; the third part carries out the field investigation and questionnaire survey on the established decision tree intelligent algorithm model and calculates the specific analysis of the physical health test data under the algorithm. e application form, through continuous checking and comprehensive analysis, summarizes the corresponding experimental data and research results, so as to prove the optimal research model under the algorithm and collects all the effective experimental data integration to build the optimal application model of decision tree intelligent algorithm in the analysis of physical health test data
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