Machine Learning to Predict Lower Extremity Musculoskeletal Injury Risk in Student Athletes

Injury rates in student athletes are high and often unpredictable. Injury risk factors are not agreed upon and often not validated. Here, we present a random-forest machine learning methodology for identifying the most significant injury risk factors and develop a model of lower extremity musculoske...

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Bibliografische gegevens
Gepubliceerd in:Front Sports Act Living
Hoofdauteurs: Henriquez, Maria, Sumner, Jacob, Faherty, Mallory, Sell, Timothy, Bent, Brinnae
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Frontiers Media S.A. 2020
Onderwerpen:
Sports and Active Living
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7739722/
https://ncbi.nlm.nih.gov/pubmed/33345141
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fspor.2020.576655
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