AIMC Topic: Athletic Injuries

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Using Machine Learning to Predict Lower-Extremity Injury in US Special Forces.

Medicine and science in sports and exercise May 1, 2019
INTRODUCTION: Musculoskeletal injury rates in military personnel remain unacceptably high. Application of machine learning algorithms could be useful in multivariate models to predict injury in this population. The purpose of this study was to invest...
Humans Machine Learning Algorithms Prospective Studies Risk Factors Young Adult Adult Lower Extremity Muscle Strength Predictive Value of Tests Oxygen Consumption Body Composition Knee Joint Range of Motion, Articular Military Personnel Athletic Injuries
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A Preventive Model for Muscle Injuries: A Novel Approach based on Learning Algorithms.

Medicine and science in sports and exercise May 1, 2018
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 strateg...
Humans Machine Learning Algorithms Prospective Studies Risk Factors Male ROC Curve Models, Theoretical Lower Extremity Decision Making Muscle, Skeletal Athletes Athletic Injuries
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Predictive Modeling of Hamstring Strain Injuries in Elite Australian Footballers.

Medicine and science in sports and exercise May 1, 2018
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 incid...
Humans Algorithms Prospective Studies Risk Factors Young Adult Adult Models, Theoretical Australia Area Under Curve Supervised Machine Learning Athletes Athletic Injuries Hamstring Muscles
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