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