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Sports Injury Risk Prevention and MRI Image Performance of Athletes in Physical Education
In order to effectively prevent athletes' injury during sports training in physical education, a method of risk prevention of sports injury based on MRI technology was proposed. This method solves the problem of injury prevention in sports training by studying the association analysis algorithm...
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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/PMC9534723/ https://www.ncbi.nlm.nih.gov/pubmed/36247720 http://dx.doi.org/10.1155/2022/1166314 |
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author | Yang, Jun |
author_facet | Yang, Jun |
author_sort | Yang, Jun |
collection | PubMed |
description | In order to effectively prevent athletes' injury during sports training in physical education, a method of risk prevention of sports injury based on MRI technology was proposed. This method solves the problem of injury prevention in sports training by studying the association analysis algorithm in data mining technology and the research of MRI technology. The experimental results show that the average prediction error of CT and US is about 5%, so it can be considered that the model can predict accurately. Conclusion. The method of risk prevention of sports injury based on MRI technology can effectively prevent the injury of athletes in the process of sports training and reduce the injury rate of athletes. |
format | Online Article Text |
id | pubmed-9534723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-95347232022-10-13 Sports Injury Risk Prevention and MRI Image Performance of Athletes in Physical Education Yang, Jun Scanning Research Article In order to effectively prevent athletes' injury during sports training in physical education, a method of risk prevention of sports injury based on MRI technology was proposed. This method solves the problem of injury prevention in sports training by studying the association analysis algorithm in data mining technology and the research of MRI technology. The experimental results show that the average prediction error of CT and US is about 5%, so it can be considered that the model can predict accurately. Conclusion. The method of risk prevention of sports injury based on MRI technology can effectively prevent the injury of athletes in the process of sports training and reduce the injury rate of athletes. Hindawi 2022-09-28 /pmc/articles/PMC9534723/ /pubmed/36247720 http://dx.doi.org/10.1155/2022/1166314 Text en Copyright © 2022 Jun Yang. 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 Yang, Jun Sports Injury Risk Prevention and MRI Image Performance of Athletes in Physical Education |
title | Sports Injury Risk Prevention and MRI Image Performance of Athletes in Physical Education |
title_full | Sports Injury Risk Prevention and MRI Image Performance of Athletes in Physical Education |
title_fullStr | Sports Injury Risk Prevention and MRI Image Performance of Athletes in Physical Education |
title_full_unstemmed | Sports Injury Risk Prevention and MRI Image Performance of Athletes in Physical Education |
title_short | Sports Injury Risk Prevention and MRI Image Performance of Athletes in Physical Education |
title_sort | sports injury risk prevention and mri image performance of athletes in physical education |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534723/ https://www.ncbi.nlm.nih.gov/pubmed/36247720 http://dx.doi.org/10.1155/2022/1166314 |
work_keys_str_mv | AT yangjun sportsinjuryriskpreventionandmriimageperformanceofathletesinphysicaleducation |