Global Positioning System‐Derived Metrics and Machine Learning Models for Injury Prediction in Professional Rugby Union Players

ABSTRACT In sports, injury prevention is a key factor for success. Although injuries are challenging to predict, new technologies and the application of data science can provide valuable insights. This study aimed to predict injury risk among professional rugby union players using machine learning (...

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Detaylı Bibliyografya
Asıl Yazarlar:	Xiangyu Ren, Simon Boisbluche, Kilian Philippe, Mathieu Demy, Sami Äyrämö, Ilkka Rautiainen, Shuzhe Ding, Jacques Prioux
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Wiley 2025-10-01
Seri Bilgileri:	European Journal of Sport Science
Konular:	analysis data injury & prevention modeling team sport
Online Erişim:	https://doi.org/10.1002/ejsc.70057
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Global Positioning System‐Derived Metrics and Machine Learning Models for Injury Prediction in Professional Rugby Union Players

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