Machine Learning Accurately Predicts Next Season NHL Player Injury Before It Occurs: Validation of 10,449 Player-Years from 2007-17

OBJECTIVES: With the accumulation of big data surrounding National Hockey League (NHL) and the advent of advanced computational processors, machine learning (ML) is ideally suited to develop a predictive algorithm capable of imbibing historical data to accurately project a future player’s availabili...

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Detalles Bibliográficos
Autores principales: Wright, Audrey, Karnuta, Jaret, Luu, Bryan, Haeberle, Heather, Makhni, Eric, Schickendantz, Mark, Ramkumar, Prem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7401172/
http://dx.doi.org/10.1177/2325967120S00360

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7401172/
http://dx.doi.org/10.1177/2325967120S00360

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