Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives-Reference-Cited by-同舟云学术

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Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives

Published:2024-05 Issue:3 Volume:28 Page:101083
ISSN:1413-3555
Container-title:Brazilian Journal of Physical Therapy
language:en
Short-container-title:Brazilian Journal of Physical Therapy

Author:

Reis Felipe J.J.^ORCID,Alaiti Rafael Krasic^ORCID,Vallio Caio Sain,Hespanhol Luiz^ORCID

Publisher

Elsevier BV

Reference74 articles.

1. Comparative effectiveness of exercise and drug interventions on mortality outcomes: metaepidemiological study;Naci;BMJ,2013

2. Exercise as medicine–evidence for prescribing exercise as therapy in 26 different chronic diseases;Pedersen;Scand J Med Sci Sports,2015

3. Risk factors for sports injuries—a methodological approach;Bahr;Br J Sports Med,2003

4. Sport and recreation-related injuries and fracture occurrence among emergency department attendees: implications for exercise prescription and injury prevention;Falvey;Emergency Med J,2009

5. Trends in paediatric sports-related injuries presenting to US emergency departments, 2001–2013;Bayt;Injury prevention,2015

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning methods in physical therapy: A scoping review of applications in clinical context;Musculoskeletal Science and Practice;2024-11

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