pubmed
SHAP-based interpretable machine learning for injury risk prediction in university football players: a multi-dimensional data analysis approach.
Ma J; Liu S; Pei Y
The study looked at how to predict football injuries in university players using data from 800 Chinese players. They used machines to find patterns and discovered that stress, sleep, and balance were important for predicting injuries, with stress increasing the risk and sleep and balance helping to prevent it. They found that the lifestyle was more important than just fitness, but they need to test their ideas more to be sure they work everywhere.
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