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Sports Medical Image Modeling of Injury Prevention in Dance Learning and Sports Training
In order to effectively prevent injuries in dance learning and sports training, this paper proposes a method based on sports medical image modeling. This method solves the problem of injury prevention in dance learning by studying the association analysis algorithm, medical image information system,...
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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/PMC9348966/ https://www.ncbi.nlm.nih.gov/pubmed/35950088 http://dx.doi.org/10.1155/2022/7027007 |
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author | Fei, Renying |
author_facet | Fei, Renying |
author_sort | Fei, Renying |
collection | PubMed |
description | In order to effectively prevent injuries in dance learning and sports training, this paper proposes a method based on sports medical image modeling. This method solves the problem of injury prevention in dance learning by studying the association analysis algorithm, medical image information system, and CT technology and analyzing the role of data mining technology in the medical image information system. The experimental results show that the average prediction error of CT and US is about 5%, which can be considered that the model can predict accurately. The error of MR is as high as 28.2%, and the prediction is relatively inaccurate. Conclusion. the model can effectively prevent the injury in training. |
format | Online Article Text |
id | pubmed-9348966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-93489662022-08-09 Sports Medical Image Modeling of Injury Prevention in Dance Learning and Sports Training Fei, Renying Scanning Research Article In order to effectively prevent injuries in dance learning and sports training, this paper proposes a method based on sports medical image modeling. This method solves the problem of injury prevention in dance learning by studying the association analysis algorithm, medical image information system, and CT technology and analyzing the role of data mining technology in the medical image information system. The experimental results show that the average prediction error of CT and US is about 5%, which can be considered that the model can predict accurately. The error of MR is as high as 28.2%, and the prediction is relatively inaccurate. Conclusion. the model can effectively prevent the injury in training. Hindawi 2022-07-27 /pmc/articles/PMC9348966/ /pubmed/35950088 http://dx.doi.org/10.1155/2022/7027007 Text en Copyright © 2022 Renying Fei. 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 Fei, Renying Sports Medical Image Modeling of Injury Prevention in Dance Learning and Sports Training |
title | Sports Medical Image Modeling of Injury Prevention in Dance Learning and Sports Training |
title_full | Sports Medical Image Modeling of Injury Prevention in Dance Learning and Sports Training |
title_fullStr | Sports Medical Image Modeling of Injury Prevention in Dance Learning and Sports Training |
title_full_unstemmed | Sports Medical Image Modeling of Injury Prevention in Dance Learning and Sports Training |
title_short | Sports Medical Image Modeling of Injury Prevention in Dance Learning and Sports Training |
title_sort | sports medical image modeling of injury prevention in dance learning and sports training |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348966/ https://www.ncbi.nlm.nih.gov/pubmed/35950088 http://dx.doi.org/10.1155/2022/7027007 |
work_keys_str_mv | AT feirenying sportsmedicalimagemodelingofinjurypreventionindancelearningandsportstraining |