Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis.

Journal: British journal of sports medicine
PMID: 39613453

Abstract

OBJECTIVE: This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy, considering factors such as data heterogeneity, model specificity and contextual factors when developing predictive models.

Authors

  • Christopher Leckey
    School of Public Health Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland christopher.leckey@irfu.ie.
  • Nicol van Dyk
    School of Public Health Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.
  • Cailbhe Doherty
    School of Public Health Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.
  • Aonghus Lawlor
    Insight SFI Centre for Data Analytics, University College Dublin, Dublin, Ireland.
  • Eamonn Delahunt
    Institute for Sport and Health, University College Dublin, Dublin, Ireland.

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