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A novel lower extremity non-contact injury risk prediction model based on multimodal fusion and interpretable machine learning

The application of machine learning algorithms in studying injury assessment methods based on data analysis has recently provided a new research insight for sports injury prevention. However, the data used in these studies are primarily multi-source and multimodal (i.e., longitudinal repeated-measur...

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Detalles Bibliográficos
Autores principales: Huang, Yuanqi, Huang, Shengqi, Wang, Yukun, Li, Yurong, Gui, Yuheng, Huang, Caihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520324/
https://www.ncbi.nlm.nih.gov/pubmed/36187785
http://dx.doi.org/10.3389/fphys.2022.937546