Machine learning corroborates subjective ratings of walking and balance difficulty in multiple sclerosis

Machine learning can discern meaningful information from large datasets. Applying machine learning techniques to raw sensor data from instrumented walkways could automatically detect subtle changes in walking and balance. Multiple sclerosis (MS) is a neurological disorder in which patients report va...

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Detalles Bibliográficos
Autores principales: Hu, Wenting, Combden, Owen, Jiang, Xianta, Buragadda, Syamala, Newell, Caitlin J., Williams, Maria C., Critch, Amber L., Ploughman, Michelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556653/
https://www.ncbi.nlm.nih.gov/pubmed/36248625
http://dx.doi.org/10.3389/frai.2022.952312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556653/
https://www.ncbi.nlm.nih.gov/pubmed/36248625
http://dx.doi.org/10.3389/frai.2022.952312

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