A Machine Learning Approach to Assess Injury Risk in Elite Youth Football Players.

Journal: Medicine and science in sports and exercise
PMID: 32079917

Abstract

PURPOSE: To assess injury risk in elite-level youth football (soccer) players based on anthropometric, motor coordination and physical performance measures with a machine learning model.

Authors

  • Nikki Rommers
  • Roland Rössler
  • Evert Verhagen
  • Florian Vandecasteele
  • Steven Verstockt
    imec, ELIS-IDLab, Ghent University, Ghent, BELGIUM.
  • Roel Vaeyens
    Department of Movement and Sports Sciences, Ghent University, Ghent, BELGIUM.
  • Matthieu Lenoir
    a Faculty of Medicine and Health Sciences , Department of Movement and Sports Sciences , Gent , Belgium.
  • Eva D'Hondt
    Department of Movement and Sports Sciences, Vrije Universiteit Brussel, Brussels, BELGIUM.
  • Erik Witvrouw
    Department of Physical Therapy and Motor Rehabilitation, Ghent University, Ghent, BELGIUM.

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