Return to Play Prediction Accuracy of the MLG-R Classification System for Hamstring Injuries in Football Players: A Machine Learning Approach-Reference-Cited by-同舟云学术

Return to Play Prediction Accuracy of the MLG-R Classification System for Hamstring Injuries in Football Players: A Machine Learning Approach

Published:2022-05-24 Issue:9 Volume:52 Page:2271-2282
ISSN:0112-1642
Container-title:Sports Medicine
language:en
Short-container-title:Sports Med

Author:

Valle Xavier^ORCID,Mechó Sandra^ORCID,Alentorn-Geli Eduard^ORCID,Järvinen Tero A. H.^ORCID,Lempainen Lasse^ORCID,Pruna Ricard,Monllau Joan C.,Rodas Gil,Isern-Kebschull Jaime^ORCID,Ghrairi Mourad,Yanguas Xavier,Balius Ramon^ORCID,la Torre Adrian Martinez-De^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

Link

https://link.springer.com/content/pdf/10.1007/s40279-022-01672-5.pdf

Reference58 articles.

1. Ekstrand J, Hägglund M, Waldén M. Epidemiology of muscle injuries in professional football (soccer). Am J Sports Med. 2011;39(6):1226–32.

2. Williams S, Trewartha G, Kemp S, Stokes K. A meta-analysis of injuries in senior men’s professional rugby union. Sports Med. 2013;43(10):1043–55.

3. Olson D, Sikka RS, Labounty A, Christensen T. Injuries in professional football: current concepts. Curr Sports Med Rep. 2013;12(6):38–90.

4. Feddermann-Demont N, Junge A, Edouard P, Branco P, Alonso J-M. Injuries in 13 international athletics championships between 2007–2012. Br J Sports Med. 2014;48(7):513–22.

5. Ekstrand J, Healy JC, Waldén M, Lee JC, English B, Hägglund M. Hamstring muscle injuries in professional football: the correlation of MRI findings with return to play. Br J Sports Med. 2012;46(2):112–7.

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