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Prediction Tools for Stroke Rehabilitation

Published:2019-11 Issue:11 Volume:50 Page:3314-3322
ISSN:0039-2499
Container-title:Stroke
language:en
Short-container-title:Stroke

Author:

Stinear Cathy M.¹²,Smith Marie-Claire¹²,Byblow Winston D.²³

Affiliation:

1. From the Department of Medicine (C.M.S., M.-C.S.), University of Auckland, New Zealand.

2. Centre for Brain Research (C.M.S., M.-C.S., W.D.B.), University of Auckland, New Zealand.

3. Department of Exercise Sciences (W.D.B.), University of Auckland, New Zealand.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

Reference77 articles.

1. Physiatrist referral preferences for postacute stroke rehabilitation.;Cormier DJ;Medicine (Baltimore),2016

2. Factors influencing selection for rehabilitation after stroke: a questionnaire using case scenarios to investigate physician perspectives and level of agreement.;Kennedy GM;Arch Phys Med Rehabil,2012

3. Unexplained Variation for Hospitals’ Use of Inpatient Rehabilitation and Skilled Nursing Facilities After an Acute Ischemic Stroke

4. Thinking about the future: a review of prognostic scales used in acute stroke.;Drozdowska BA;Front Neurol,2019

5. The prognostic value of the iScore, the PLAN score, and the ASTRAL score in acute ischemic stroke.;Wang WY;J Stroke Cerebrovasc Dis,2017

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1. Logistic regression analysis and machine learning for predicting post-stroke gait independence: a retrospective study;Scientific Reports;2024-09-11

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5. Prediction of Upper Limb Motor Recovery by the PREP2 Algorithm in a Nonselected Population: External Validation and Influence of Cognitive Syndromes;Neurorehabilitation and Neural Repair;2024-08-20

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