Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach

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...

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Bibliographic Details
Main Authors: Yaar Harari, Megan K. O’Brien, Richard L. Lieber, Arun Jayaraman
Format: Article
Language:English
Published: BMC 2020-06-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Physical therapy
Functional Independence measure
Gait
Balance
Lasso regression
Online Access:http://link.springer.com/article/10.1186/s12984-020-00704-3

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http://link.springer.com/article/10.1186/s12984-020-00704-3

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