A deep learning approach to injury forecasting in NBA basketball

Predicting athlete injury risk has been a holy grail in sports medicine with little progress to date due to a variety of factors such as small sample sizes, significantly imbalanced data, and inadequate statistical approaches. Data modeling which does not account for multiple interactions across fac...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of sports analytics 2021-12, Vol.7 (4), p.277-289
Hauptverfasser:	Cohan, Alexander, Schuster, Jake, Fernandez, Jose
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!