injury prediction model
IN-jur-ee preh-DIK-shun MOD-ul
ˈɪndʒəri prɪˈdɪkʃən ˈmɒdəlListen
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Dictionary meaning
a statistical or machine learning model that estimates an athlete's probability of sustaining a specific injury within a defined future period, based on variables including training load history, acute to chronic workload ratio, biomechanical screening data, sleep and recovery metrics, previous injury history, and game scheduling; injury prediction models are increasingly used by professional sports clubs to inform training load management, rotation decisions, and medical screening protocols; however, their predictive accuracy is limited by the multifactorial and partly stochastic nature of sports injuries, the challenge of collecting clean longitudinal data, and the ethical complexity of making personnel decisions on the basis of probabilistic health forecasts
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