Machine Learning Outperforms Regression Analysis to Predict Next-Season Major League Baseball Player Injuries: Epidemiology and Validation of 13,982 Player-Years From Performance and Injury Profile Trends, 2000-2017

BACKGROUND: Machine learning (ML) allows for the development of a predictive algorithm capable of imbibing historical data on a Major League Baseball (MLB) player to accurately project the player's future availability. PURPOSE: To determine the validity of an ML model in predicting the next-sea...

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Библиографические подробности
Опубликовано в: :Orthop J Sports Med
Главные авторы: Karnuta, Jaret M., Luu, Bryan C., Haeberle, Heather S., Saluan, Paul M., Frangiamore, Salvatore J., Stearns, Kim L., Farrow, Lutul D., Nwachukwu, Benedict U., Verma, Nikhil N., Makhni, Eric C., Schickendantz, Mark S., Ramkumar, Prem N.
Формат: Artigo
Язык:Inglês
Опубликовано: SAGE Publications 2020
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Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7672741/
https://ncbi.nlm.nih.gov/pubmed/33241060
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/2325967120963046
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