Externally validated machine learning algorithm accurately predicts medial tibial stress syndrome in military trainees: a multicohort study.

Shaw, Angus; Newman, Phil; Witchalls, Jeremy; Hedger, Tristan

Shaw, Angus; Newman, Phil; Witchalls, Jeremy; Hedger, Tristan.

Afiliação

Shaw A; Faculty of Health (Physiotherapy), University of Canberra, Canberra, Australian Capital Territory, Australia.
Newman P; Physiotherapy, Matrix Physiotherapy & Sports Clinic, Queanbeyan, New South Wales, Australia.
Witchalls J; Faculty of Health (Physiotherapy), Research Institute for Sport and Exercise (UCRISE), University of Canberra, Canberra, Australian Capital Territory, Australia.
Hedger T; Faculty of Health (Physiotherapy), Research Institute for Sport and Exercise (UCRISE), University of Canberra, Canberra, Australian Capital Territory, Australia.

BMJ Open Sport Exerc Med ; 9(2): e001566, 2023.

Article em En | MEDLINE | ID: mdl-37497020

Palavras-chave

Injury; Prevention; Risk factor; Running; Shin

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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