Predictive Modeling of Hamstring Strain Injuries in Elite Australian Footballers.

Journal: Medicine and science in sports and exercise
PMID: 29266094

Abstract

PURPOSE: Three of the most commonly identified hamstring strain injury (HSI) risk factors are age, previous HSI, and low levels of eccentric hamstring strength. However, no study has investigated the ability of these risk factors to predict the incidence of HSI in elite Australian footballers. Accordingly, the purpose of this prospective cohort study was to investigate the predictive ability of HSI risk factors using machine learning techniques.

Authors

  • Joshua D Ruddy
    School of Exercise Science, Australian Catholic University, Melbourne, AUSTRALIA.
  • Anthony J Shield
    School of Exercise Science, Australian Catholic University, Melbourne, AUSTRALIA.
  • Nirav Maniar
    School of Exercise Science, Australian Catholic University, Melbourne, AUSTRALIA.
  • Morgan D Williams
    School of Exercise Science, Australian Catholic University, Melbourne, AUSTRALIA.
  • Steven Duhig
    School of Exercise Science, Australian Catholic University, Melbourne, AUSTRALIA.
  • Ryan G Timmins
    School of Exercise Science, Australian Catholic University, Melbourne, AUSTRALIA.
  • Jack Hickey
    School of Exercise Science, Australian Catholic University, Melbourne, AUSTRALIA.
  • Matthew N Bourne
    School of Exercise Science, Australian Catholic University, Melbourne, AUSTRALIA.
  • David A Opar
    School of Exercise Science, Australian Catholic University, Melbourne, AUSTRALIA.

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