Machine learning analyses can be of interest to estimate the risk of injury in sports injury and rehabilitation - 05/08/22
Doi : 10.1016/j.rehab.2020.07.012
Pascal Edouard a, b, ⁎ 
, Evert Verhagen c, Laurent Navarro d
, Evert Verhagen c, Laurent Navarro d a Inter-university Laboratory of Human Movement Science (LIBM EA 7424), University of Lyon, University Jean-Monnet, 42023 Saint Étienne, France
b Department of Clinical and Exercise Physiology, Sports Medicine Unit, University Hospital of Saint-Etienne, Faculty of Medicine, Saint-Étienne, France
c Amsterdam Collaboration on Health & Safety in Sports (ACHSS), Department of Public and Occupational Health, Amsterdam UMC, VU University, Amsterdam Movement Sciences, Amsterdam, The Netherlands
d Mines Saint-Étienne, University of Lyon, University Jean Monnet, Inserm, U 1059 Sainbiose, Centre CIS, 42023 Saint-Étienne, France
⁎Corresponding author at: University of Lyon, University Jean Monnet, Inter-university Laboratory of Human Movement Science (LIBM EA 7424), 42023 Saint Etienne, France.University of Lyon, University Jean Monnet, Inter-university Laboratory of Human Movement Science (LIBM EA 7424)Saint Etienne42023France
Bienvenue sur EM-consulte, la référence des professionnels de santé.
Article gratuit.
Connectez-vous pour en bénéficier!
Le texte complet de cet article est disponible en PDF.
Plan
© 2020
Elsevier Masson SAS. Tous droits réservés.
Vol 65 - N° 4
Article 101431- juin 2022 Retour au numéro
Article précédent
- Determinants of early evolution after anterior cruciate ligament reconstruction: Cohort of 631 athletes followed in rehabilitation
- Hélène Cassoudesalle, Eric Laboute, Philippe Bordes, Antoine Bertolotti, Mathieu De Sèze
- Platelet-rich plasma preparations in sports rehabilitation: Where we started and where we should go
- Jeremy Magalon, Thibault Brandin, Fanny Grimaud, Sitraka Rabarimeriarijaona, Julie Veran, Françoise Dignat George, Florence Sabatier
Bienvenue sur EM-consulte, la référence des professionnels de santé.