A multi-season machine learning approach to examine the training load and injury relationship in professional soccer
OBJECTIVES: The purpose of this study was to use machine learning to examine the relationship between training load and soccer injury with a multi-season dataset from one English Premier League club. METHODS: Participants were 35 male professional soccer players (aged 25.79±3.75 years, range 18–37 y...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publishing
2024-04-01
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| coleção: | Journal of Sports Analytics |
| Acesso em linha: | https://doi.org/10.3233/JSA-240718 |
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