A carregar...
Machine Learning Outperforms Logistic Regression Analysis to Predict Next-Season NHL Player Injury: An Analysis of 2322 Players From 2007 to 2017
BACKGROUND: The opportunity to quantitatively predict next-season injury risk in the National Hockey League (NHL) has become a reality with the advent of advanced computational processors and machine learning (ML) architecture. Unlike static regression analyses that provide a momentary prediction, M...
Na minha lista:
| Publicado no: | Orthop J Sports Med |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2020
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7522848/ https://ncbi.nlm.nih.gov/pubmed/33029545 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/2325967120953404 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|