Pre-injury performance is most important for predicting the level of match participation after Achilles tendon ruptures in elite soccer players: a study using a machine learning classifier

被引：0

作者：

Pedro Diniz

Mariana Abreu

Diogo Lacerda

António Martins

Hélder Pereira

Frederico Castelo Ferreira

Gino MMJ Kerkhoffs

Ana Fred

机构：

[1] Hospital de Sant’Ana,Department of Orthopaedic Surgery

[2] Instituto Superior Técnico,Department of Bioengineering and iBB, Institute for Bioengineering and Biosciences

[3] Universidade de Lisboa,Associate Laboratory i4HB

[4] Institute for Health and Bioeconomy,Orthopaedic Department

[5] Instituto Superior Técnico,Department of Orthopaedic Surgery, Amsterdam Movement Sciences

[6] Universidade de Lisboa,undefined

[7] Fisiogaspar,undefined

[8] Instituto de Telecomunicações,undefined

[9] Centro Hospitalar Póvoa de Varzim,undefined

[10] Ripoll y De Prado Sports Clinic: FIFA Medical Centre of Excellence,undefined

[11] University of Minho ICVS/3B’s-PT Government Associate Laboratory,undefined

[12] Amsterdam University Medical Centers,undefined

[13] Academic Center for Evidence Based Sports Medicine (ACES),undefined

[14] Amsterdam Collaboration for Health and Safety in Sports (ACHSS),undefined

来源：

Knee Surgery, Sports Traumatology, Arthroscopy | 2022年 / 30卷

关键词：

Achilles tendon; General sports trauma; Football (soccer); Epidemiology; Statistics; Machine learning;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：4225 / 4237

页数：12

共 3 条