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Application of Decision Tree Intelligent Algorithm in Data Analysis of Physical Health Test
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767356/ https://www.ncbi.nlm.nih.gov/pubmed/35070245 http://dx.doi.org/10.1155/2022/8584377 |
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author | Chen, Li Miao, Meiling |
author_facet | Chen, Li Miao, Meiling |
author_sort | Chen, Li |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8767356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-87673562022-01-20 Application of Decision Tree Intelligent Algorithm in Data Analysis of Physical Health Test Chen, Li Miao, Meiling J Healthc Eng Research Article 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. Hindawi 2022-01-11 /pmc/articles/PMC8767356/ /pubmed/35070245 http://dx.doi.org/10.1155/2022/8584377 Text en Copyright © 2022 Li Chen and Meiling Miao. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chen, Li Miao, Meiling Application of Decision Tree Intelligent Algorithm in Data Analysis of Physical Health Test |
title | Application of Decision Tree Intelligent Algorithm in Data Analysis of Physical Health Test |
title_full | Application of Decision Tree Intelligent Algorithm in Data Analysis of Physical Health Test |
title_fullStr | Application of Decision Tree Intelligent Algorithm in Data Analysis of Physical Health Test |
title_full_unstemmed | Application of Decision Tree Intelligent Algorithm in Data Analysis of Physical Health Test |
title_short | Application of Decision Tree Intelligent Algorithm in Data Analysis of Physical Health Test |
title_sort | application of decision tree intelligent algorithm in data analysis of physical health test |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767356/ https://www.ncbi.nlm.nih.gov/pubmed/35070245 http://dx.doi.org/10.1155/2022/8584377 |
work_keys_str_mv | AT chenli applicationofdecisiontreeintelligentalgorithmindataanalysisofphysicalhealthtest AT miaomeiling applicationofdecisiontreeintelligentalgorithmindataanalysisofphysicalhealthtest |