Predicting ACL Injury Using Machine Learning on Data From an Extensive Screening Test Battery of 880 Female Elite Athletes

BACKGROUND: Injury risk prediction is an emerging field in which more research is needed to recognize the best practices for accurate injury risk assessment. Important issues related to predictive machine learning need to be considered, for example, to avoid overinterpreting the observed prediction...

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Detalles Bibliográficos
Autores principales: Jauhiainen, Susanne, Kauppi, Jukka-Pekka, Krosshaug, Tron, Bahr, Roald, Bartsch, Julia, Äyrämö, Sami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442771/
https://www.ncbi.nlm.nih.gov/pubmed/35984748
http://dx.doi.org/10.1177/03635465221112095

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442771/
https://www.ncbi.nlm.nih.gov/pubmed/35984748
http://dx.doi.org/10.1177/03635465221112095

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