This paper is in the following e-collection/theme issue:

AI Applications in Biomedical Engineering (8) Robotics in Rehabilitation (38) Machine Learning (1465) Artificial Intelligence (1371) Stroke (163) Cognitive and Neurorehabilitation (262) Neurorehabilitation and Technology (17)

Published on in Vol 9 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56980, first published .
Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach

Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach

Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach

Authors of this article:

Russell Jeter1, 2 Author Orcid Image ;   Raymond Greenfield1 Author Orcid Image ;   Stephen N Housley2, 3 Author Orcid Image ;   Igor Belykh1, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.