Predicting injury risk using machine learning in male youth soccer players-Reference-Cited by-同舟云学术

Predicting injury risk using machine learning in male youth soccer players

Published:2023-02 Issue: Volume:167 Page:113079
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Robles-Palazón Francisco Javier,Puerta-Callejón José M.,Gámez José A.,De Ste Croix Mark,Cejudo Antonio,Santonja Fernando,Sainz de Baranda Pilar,Ayala Francisco

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference57 articles.

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2. Injury risk and injury burden are related to age group and peak height velocity among talented male youth soccer players;Bult;Orthop J Sports Med,2018

3. Sport injuries aligned to peak height velocity in talented pubertal soccer players;van der Sluis;Int J Sports Med,2014

4. Overuse injuries in youth sports: biomechanical considerations;Hawkins;Med Sci Sport Exerc,2001

5. The relationship between peak height velocity and physical performance in youth soccer players;Philippaerts;J Sports Sci,2006

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