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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Orthop J Sports Med
Main Authors: 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.
Formato: Artigo
Idioma:Inglês
Publicado em: SAGE Publications 2020
Assuntos:
Article
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados