Machine Learning in Modeling High School Sport Concussion Symptom Resolve.

Journal: Medicine and science in sports and exercise
PMID: 30694980

Abstract

INTRODUCTION: Concussion prevalence in sport is well recognized, so too is the challenge of clinical and return-to-play management for an injury with an inherent indeterminant time course of resolve. A clear, valid insight into the anticipated resolution time could assist in planning treatment intervention.

Authors

  • Michael F Bergeron
    SIVOTEC Analytics, Boca Raton, FL, USA.
  • Sara Landset
    Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA.
  • Todd A Maugans
    Division of Neurosurgery, Nemours Children's Hospital, Orlando, FL.
  • Vernon B Williams
    Kerlan-Jobe Center for Sports Neurology, Los Angeles, CA.
  • Christy L Collins
    Datalys Center for Sports Injury Research and Prevention, Inc., Indianapolis, IN.
  • Erin B Wasserman
    Datalys Center for Sports Injury Research and Prevention, Inc., Indianapolis, IN.
  • Taghi M Khoshgoftaar
    Florida Atlantic University, United States. Electronic address: khoshgof@fau.edu.

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