A Machine Learning Approach to Assess Injury Risk in Elite Youth Football Players
Conclusions
Our machine learning algorithm was able to predict injury and to distinguish overuse from acute injuries with reasonably high accuracy based on preseason measures. Hence, it is a promising approach to assess injury risk among elite-level youth football players. This new knowledge could be applied in the development and improvement of injury risk management strategies to identify youth players with the highest injury risk.
Source: Medicine and Science in Sports and Exercise - Category: Sports Medicine Tags: EPIDEMIOLOGY Source Type: research
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