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Health Promotion Effects of Sports Training Based on HMM Theory and Big Data
In order to better analyze human health status and guide people to carry out reasonable physical training, this paper puts forward the construction method of human health status evaluation model after sports training based on big data. Firstly, the characteristic information of human health status a...
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/PMC9098332/ https://www.ncbi.nlm.nih.gov/pubmed/35572057 http://dx.doi.org/10.1155/2022/6110247 |
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author | Song, Haiyan Ma, Yao Chen, Hongwei |
author_facet | Song, Haiyan Ma, Yao Chen, Hongwei |
author_sort | Song, Haiyan |
collection | PubMed |
description | In order to better analyze human health status and guide people to carry out reasonable physical training, this paper puts forward the construction method of human health status evaluation model after sports training based on big data. Firstly, the characteristic information of human health status after sports training is collected based on big data technology, and the evaluation index and evaluation algorithm of human health status after sports training are constructed. The evaluation system of human health status after sports training is constructed. Finally, the experiment proves that the proposed evaluation model of human health status after sports training based on big data has high practicability in the process of practical application and fully meets the research requirements. |
format | Online Article Text |
id | pubmed-9098332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-90983322022-05-13 Health Promotion Effects of Sports Training Based on HMM Theory and Big Data Song, Haiyan Ma, Yao Chen, Hongwei Appl Bionics Biomech Research Article In order to better analyze human health status and guide people to carry out reasonable physical training, this paper puts forward the construction method of human health status evaluation model after sports training based on big data. Firstly, the characteristic information of human health status after sports training is collected based on big data technology, and the evaluation index and evaluation algorithm of human health status after sports training are constructed. The evaluation system of human health status after sports training is constructed. Finally, the experiment proves that the proposed evaluation model of human health status after sports training based on big data has high practicability in the process of practical application and fully meets the research requirements. Hindawi 2022-05-05 /pmc/articles/PMC9098332/ /pubmed/35572057 http://dx.doi.org/10.1155/2022/6110247 Text en Copyright © 2022 Haiyan Song et al. 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 Song, Haiyan Ma, Yao Chen, Hongwei Health Promotion Effects of Sports Training Based on HMM Theory and Big Data |
title | Health Promotion Effects of Sports Training Based on HMM Theory and Big Data |
title_full | Health Promotion Effects of Sports Training Based on HMM Theory and Big Data |
title_fullStr | Health Promotion Effects of Sports Training Based on HMM Theory and Big Data |
title_full_unstemmed | Health Promotion Effects of Sports Training Based on HMM Theory and Big Data |
title_short | Health Promotion Effects of Sports Training Based on HMM Theory and Big Data |
title_sort | health promotion effects of sports training based on hmm theory and big data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098332/ https://www.ncbi.nlm.nih.gov/pubmed/35572057 http://dx.doi.org/10.1155/2022/6110247 |
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