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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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Dettagli Bibliografici
Pubblicato in:Orthop J Sports Med
Autori principali: Wright, Audrey, Karnuta, Jaret, Luu, Bryan, Haeberle, Heather, Makhni, Eric, Schickendantz, Mark, Ramkumar, Prem
Natura: Artigo
Lingua:Inglês
Pubblicazione: SAGE Publications 2020
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7401172/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/2325967120S00360
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