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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Detalles Bibliográficos
Autores principales: Henriquez, Maria, Sumner, Jacob, Faherty, Mallory, Sell, Timothy, Bent, Brinnae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Sports and Active Living
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7739722/
https://www.ncbi.nlm.nih.gov/pubmed/33345141
http://dx.doi.org/10.3389/fspor.2020.576655

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7739722/
https://www.ncbi.nlm.nih.gov/pubmed/33345141
http://dx.doi.org/10.3389/fspor.2020.576655

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