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Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior
Through school education to intervene in the behavior of adolescent health risk behaviors students and guide students to have a correct concept of quality and health, this paper uses artificial intelligence technology to mine students' body language to analyze students' behavior in quality...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017593/ https://www.ncbi.nlm.nih.gov/pubmed/35450146 http://dx.doi.org/10.1155/2022/1594108 |
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author | Ha, Jin |
author_facet | Ha, Jin |
author_sort | Ha, Jin |
collection | PubMed |
description | Through school education to intervene in the behavior of adolescent health risk behaviors students and guide students to have a correct concept of quality and health, this paper uses artificial intelligence technology to mine students' body language to analyze students' behavior in quality education dance classes, so as to achieve effective intervention for AHRB students. Before the experimental study, AHRB students and normal students were mixed into groups in a ratio of not less than 1 : 18. The results of the study showed that the implementation of intervention strategies could reduce the recurrence of various risky behaviors in adolescents. When non-AHRB students and AHRB students intervene together, there will be no adverse effects on non-AHRB students. |
format | Online Article Text |
id | pubmed-9017593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-90175932022-04-20 Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior Ha, Jin Appl Bionics Biomech Research Article Through school education to intervene in the behavior of adolescent health risk behaviors students and guide students to have a correct concept of quality and health, this paper uses artificial intelligence technology to mine students' body language to analyze students' behavior in quality education dance classes, so as to achieve effective intervention for AHRB students. Before the experimental study, AHRB students and normal students were mixed into groups in a ratio of not less than 1 : 18. The results of the study showed that the implementation of intervention strategies could reduce the recurrence of various risky behaviors in adolescents. When non-AHRB students and AHRB students intervene together, there will be no adverse effects on non-AHRB students. Hindawi 2022-04-11 /pmc/articles/PMC9017593/ /pubmed/35450146 http://dx.doi.org/10.1155/2022/1594108 Text en Copyright © 2022 Jin Ha. 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 Ha, Jin Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior |
title | Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior |
title_full | Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior |
title_fullStr | Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior |
title_full_unstemmed | Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior |
title_short | Application of Artificial Intelligence in the Intervention of Sports on Adolescent Health Risk Behavior |
title_sort | application of artificial intelligence in the intervention of sports on adolescent health risk behavior |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017593/ https://www.ncbi.nlm.nih.gov/pubmed/35450146 http://dx.doi.org/10.1155/2022/1594108 |
work_keys_str_mv | AT hajin applicationofartificialintelligenceintheinterventionofsportsonadolescenthealthriskbehavior |