Machine learning-based study of the predictors of clinically important change in patient-reported outcomes in bilateral upper-limb function in patients receiving robotic stroke rehabilitation.
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| Title: | Machine learning-based study of the predictors of clinically important change in patient-reported outcomes in bilateral upper-limb function in patients receiving robotic stroke rehabilitation. |
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| Authors: | Chen YW; Department of Speech-Language Pathology and Audiology, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan., Lin KC; School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan.; Department of Physical Medicine and Rehabilitation, Division of Occupational Therapy, National Taiwan University Hospital, Taipei, Taiwan.; Department of Occupational Therapy, College of Medical Science and Technology, Chung Shan Medical University, Taichung, Taiwan. |
| Source: | Frontiers in rehabilitation sciences [Front Rehabil Sci] 2026 Jan 26; Vol. 7, pp. 1738402. Date of Electronic Publication: 2026 Jan 26 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Country of Publication: Switzerland NLM ID: 9918227358906676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-6861 (Electronic) Linking ISSN: 26736861 NLM ISO Abbreviation: Front Rehabil Sci Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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