Cross-validation of a machine learning algorithm that determines anterior cruciate ligament rehabilitation status and evaluation of its ability to predict future injury.

Richter, Chris; Petushek, Erich; Grindem, Hege; Franklyn-Miller, Andrew; Bahr, Roald; Krosshaug, Tron

Richter, Chris; Petushek, Erich; Grindem, Hege; Franklyn-Miller, Andrew; Bahr, Roald; Krosshaug, Tron.

Afiliação

Richter C; Sports Medicine Department, Sports Surgery Clinic, Santry Demesne, Ireland.
Petushek E; Department of Life Sciences, Roehampton University, UK.
Grindem H; Department of Cognitive and Learning Sciences, Michigan Technological University, USA.
Franklyn-Miller A; Oslo Sport Trauma Research Center, Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Bahr R; Stockholm Sports Trauma Research Center, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Krosshaug T; Sports Medicine Department, Sports Surgery Clinic, Santry Demesne, Ireland.

Sports Biomech ; 22(1): 91-101, 2023 Jan.

Article em En | MEDLINE | ID: mdl-34323653

Assuntos

Lesões do Ligamento Cruzado Anterior; Traumatismos em Atletas; Humanos; Ligamento Cruzado Anterior; Traumatismos em Atletas/diagnóstico; Fenômenos Biomecânicos; Aprendizado de Máquina; Algoritmos

Palavras-chave

Classification algorithms; injury prediction; vertical drop jump

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Traumatismos em Atletas / Lesões do Ligamento Cruzado Anterior Limite: Humans Idioma: En Revista: Sports Biomech Assunto da revista: MEDICINA ESPORTIVA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Irlanda

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