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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...

Celý popis

Uloženo v:
Hlavní autoři: Sathuluri Raju, Kranthi Kumar Singamaneni, Lim Boon Hooi, Kunche Usha Rani, Chandrika B.
Médium: Artigo
Jazyk:Inglês
Vydáno: BMC 2026-01-01
Edice:BMC Sports Science, Medicine and Rehabilitation
Témata:
Machine learning
Explainable AI
Athlete monitoring
Injury prediction
Workload monitoring
On-line přístup:https://doi.org/10.1186/s13102-025-01502-x
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