Machine learning framework for predicting athletic injuries and optimising performance
Abstract This paper describes an interpretable machine learning model to assess the risk of injury among multi-sport college athletes at the university level based on a publicly available collegiate dataset. The variables to be included in the dataset are workload, recovery, performance, and demogra...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BMC
2026-01-01
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| Schriftenreihe: | BMC Sports Science, Medicine and Rehabilitation |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1186/s13102-025-01502-x |
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