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

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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Bibliographic Details
Main Authors: Wenting Hu, Owen Combden, Xianta Jiang, Syamala Buragadda, Caitlin J. Newell, Maria C. Williams, Amber L. Critch, Michelle Ploughman
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Artificial Intelligence
Subjects:
artificial intelligence
gait analysis
machine learning
multiple sclerosis
walkway
rehabilitation
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.952312/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2022.952312/full

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