Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke-Reference-Cited by-同舟云学术

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Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke

Published:2021-12 Issue: Volume: Page:
ISSN:0003-9993
Container-title:Archives of Physical Medicine and Rehabilitation
language:en
Short-container-title:Archives of Physical Medicine and Rehabilitation

Author:

Lin Gong-Hong,Li Chih-Ying,Sheu Ching-Fan,Huang Chien-Yu,Lee Shih-Chieh,Huang Yu-Hui,Hsieh Ching-Lin

Funder

National Institute of Child Health and Human Development

National Center for Medical Rehabilitation Research

Ministry of Science and Technology, Taiwan

National Institutes of Health

Publisher

Elsevier BV

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation

Reference43 articles.

1. Living setting and utilisation of ADL assistance one year after a stroke with special reference to gender differences;Appelros;Disabil Rehabil,2006

2. Balance disability after stroke;Tyson;Phys Ther,2006

3. Recovery of motor function after stroke;Bonita;Stroke,1988

4. Functional recovery and instrumental activities of daily living: follow-up 1-year after treatment in a stroke unit;Carod-Artal;Brain Inj,2002

5. The relationship between communication activities of daily living and quality of life among the elderly suffering from stroke;Byeon;J Phys Ther Sci,2016

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2. Developing a machine learning-based short form of the positive and negative syndrome scale;Asian Journal of Psychiatry;2024-04

3. Developing an Accumulative Assessment System of Upper Extremity Motor Function in Patients With Stroke Using Deep Learning;Physical Therapy;2024-03-26

4. Relevance and use of health policy, health systems and health services research for strengthening rehabilitation in real-life settings: methodological considerations;European Journal of Physical and Rehabilitation Medicine;2024-02

5. Developing a Short-Form Buss–Warren Aggression Questionnaire Based on Machine Learning;Behavioral Sciences;2023-09-26

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