Injury Analytics in Sport: Beyond the Black Box

Recent advances in techniques to explain machine learning models are opening up models that were previously considered black box models. This, in conjunction with the injection of sports domain knowledge and club context through robust data explorations, feature engineering and feature selection, combine to allow practitioners to see the reasoning behind the model outputs and enable them to incorporate into their decision-making.

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