Predicting patient-reported outcome of activities of daily living in stroke rehabilitation: a machine learning study
Journal
Journal of neuroengineering and rehabilitation
Journal Volume
20
Journal Issue
1
Date Issued
2023-02-23
Author(s)
Abstract
Machine Learning is increasingly used to predict rehabilitation outcomes in stroke in the context of precision rehabilitation and patient-centered care. However, predictors for patient-centered outcome measures for activities and participation in stroke rehabilitation requires further investigation.
Subjects
Activities of daily living; Machine learning; Patient-reported outcome measures; Prediction; Prognosis; Stroke rehabilitation
SDGs
Type
journal article