Classifying and tracking rehabilitation interventions through machine-learning algorithms in individuals with stroke.

Victor C Espinoza BernalShivayogi V HiremathBethany WolfBrooke RileyRochelle J MendoncaMichelle J Johnson

Published in: Journal of rehabilitation and assistive technologies engineering (2021)

The results of this pilot study indicate that personalized supervised learning algorithms can be used to classify and track rehab activities and functional outcomes in resource limited settings such as LMICs.

Keyphrases

machine learning
artificial intelligence
big data
atrial fibrillation
physical activity
deep learning
cerebral ischemia
subarachnoid hemorrhage