Predicting patient-reported outcome of activities of daily living in stroke rehabilitation: a machine learning study

Chen, Yu-WenYu-WenChenKEH-CHUNG LINLi, Yi-ChunYi-ChunLiLin, Chia-JungChia-JungLin2023-07-042023-07-042023-02-231743-0003https://scholars.lib.ntu.edu.tw/handle/123456789/633302Machine 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.enActivities of daily living; Machine learning; Patient-reported outcome measures; Prediction; Prognosis; Stroke rehabilitation[SDGs]SDG3Predicting patient-reported outcome of activities of daily living in stroke rehabilitation: a machine learning studyjournal article10.1186/s12984-023-01151-6368236262-s2.0-85148865414https://api.elsevier.com/content/abstract/scopus_id/85148865414