Leveraging explainable machine learning to identify gait biomechanical parameters associated with anterior cruciate ligament injury

Anterior cruciate ligament (ACL) deficient and reconstructed knees display altered biomechanics during gait. Identifying significant gait changes is important for understanding normal and ACL function and is typically performed by statistical approaches. This paper focuses on the development of an e...

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Detalles Bibliográficos
Autores principales: Kokkotis, Christos, Moustakidis, Serafeim, Tsatalas, Themistoklis, Ntakolia, Charis, Chalatsis, Georgios, Konstadakos, Stylianos, Hantes, Michael E., Giakas, Giannis, Tsaopoulos, Dimitrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026057/
https://www.ncbi.nlm.nih.gov/pubmed/35459787
http://dx.doi.org/10.1038/s41598-022-10666-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026057/
https://www.ncbi.nlm.nih.gov/pubmed/35459787
http://dx.doi.org/10.1038/s41598-022-10666-2

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