A Preventive Model for Muscle Injuries: A Novel Approach based on Learning Algorithms.

Journal: Medicine and science in sports and exercise
Published Date: May 1, 2018

Abstract

INTRODUCTION: The application of contemporary statistical approaches coming from Machine Learning and Data Mining environments to build more robust predictive models to identify athletes at high risk for injury might support injury prevention strategies of the future.

Authors

  • Alejandro López-Valenciano
    Sports Research Centre, Miguel Hernandez University of Elche, Alicante, SPAIN.
  • Francisco Ayala
    Sports Research Centre, Miguel Hernandez University of Elche, Alicante, SPAIN.
  • JOSé Miguel Puerta
    Sports Research Centre, Miguel Hernandez University of Elche, Alicante, SPAIN.
  • Mark Brian Amos DE Ste Croix
    Sports Research Centre, Miguel Hernandez University of Elche, Alicante, SPAIN.
  • Francisco Jose Vera-Garcia
    Sports Research Centre, Miguel Hernandez University of Elche, Alicante, SPAIN.
  • Sergio Hernández-Sánchez
    Sports Research Centre, Miguel Hernandez University of Elche, Alicante, SPAIN.
  • Iñaki Ruiz-Pérez
    Sports Research Centre, Miguel Hernandez University of Elche, Alicante, SPAIN.
  • Gregory D Myer
    Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA; Department of Orthopedic Surgery, University of Cincinnati, Cincinnati, OH, USA.

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