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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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Detalles Bibliográficos
Autor principal: Yang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
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.
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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
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