Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach
Abstract Background In clinical practice, therapists often rely on clinical outcome measures to quantify a patient’s impairment and function. Predicting a patient’s discharge outcome using baseline clinical information may help clinicians design more targeted treatment strategies and better anticipa...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-06-01
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Series: | Journal of NeuroEngineering and Rehabilitation |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12984-020-00704-3 |