Predicting Models of Outcome Stratified by Age After First Stroke Rehabilitation in Japan
Author:
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation
Reference28 articles.
1. Prediction of function after stroke: a critical review.
2. Measurement of Outcomes of Care for Stroke Patients
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1. Improvement of predictive accuracies of functional outcomes after subacute stroke inpatient rehabilitation by machine learning models;PLOS ONE;2023-05-26
2. Feasibility of an individualised, task-oriented, video-supported home exercise programme for arm function in patients in the subacute phase after stroke: protocol of a randomised controlled pilot study;BMJ Open;2022-01
3. Deep Learning-Based Functional Independence Measure Score Prediction After Stroke in Kaifukuki (Convalescent) Rehabilitation Ward Annexed to Acute Care Hospital;Cureus;2021-07-23
4. Factors associated with functional recovery in Japanese patients with convalescent stroke stratified by age: a multicenter observational study;International Journal of Rehabilitation Research;2019-09
5. Functional outcomes of inpatient rehabilitation in very elderly patients with stroke: differences across three age groups;Topics in Stroke Rehabilitation;2018-02-19
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