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.
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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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Chen+YW%22">Chen YW</searchLink>; Department of Speech-Language Pathology and Audiology, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+KC%22">Lin KC</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%229918227358906676%22">Frontiers in rehabilitation sciences</searchLink> [Front Rehabil Sci] 2026 Jan 26; Vol. 7, pp. 1738402. <i>Date of Electronic Publication: </i>2026 Jan 26 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers%22">Frontiers </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>9918227358906676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2673-6861 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226736861%22">26736861 </searchLink><i>NLM ISO Abbreviation: </i>Front Rehabil Sci <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fresc.2026.1738402
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      – Code: eng
        Text: English
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      – TitleFull: 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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              Text: 2026 Jan 26
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              Y: 2026
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