Machine learning prediction of combat basic training injury from 3D body shape images.

Journal: PloS one
PMID:

Abstract

INTRODUCTION: Athletes and military personnel are both at risk of disabling injuries due to extreme physical activity. A method to predict which individuals might be more susceptible to injury would be valuable, especially in the military where basic recruits may be discharged from service due to injury. We postulate that certain body characteristics may be used to predict risk of injury with physical activity.

Authors

  • Steven Morse
    United States Military Academy, West Point, New York, United States of America.
  • Kevin Talty
    United States Military Academy, West Point, New York, United States of America.
  • Patrick Kuiper
    United States Military Academy, West Point, New York, United States of America.
  • Michael Scioletti
    United States Military Academy, West Point, New York, United States of America.
  • Steven B Heymsfield
    Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America.
  • Richard L Atkinson
    Division of Endocrinology and Metabolism, Virginia Commonwealth University School of Medicine, Richmond, Virginia, United States of America.
  • Diana M Thomas
    United States Military Academy, West Point, New York, United States of America.