Tracking Health, Performance and Recovery in Athletes Using Machine Learning

Training and competitive periods can temporarily impair the performance of an athlete. This disruption can be short- or long-term, lasting up to several days. We analyzed the health indicators of 3661 athletes during an in-depth medical examination. At the time of inclusion in the study, the athlete...

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Detalles Bibliográficos
Autores principales: Petrovsky, Denis V., Pustovoyt, Vasiliy I., Nikolsky, Kirill S., Malsagova, Kristina A., Kopylov, Arthur T., Stepanov, Alexander A., Rudnev, Vladimir. R., Balakin, Evgenii I., Kaysheva, Anna L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611450/
https://www.ncbi.nlm.nih.gov/pubmed/36287773
http://dx.doi.org/10.3390/sports10100160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611450/
https://www.ncbi.nlm.nih.gov/pubmed/36287773
http://dx.doi.org/10.3390/sports10100160

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