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ABSTRACT: Background
Stroke is a worldwide cause of disability; 40% of stroke survivors sustain cognitive impairments, most of them following inpatient rehabilitation at specialized clinical centers. Web-based cognitive rehabilitation tasks are extensively used in clinical settings. The impact of task execution depends on the ratio between the skills of the treated patient and the challenges imposed by the task itself. Thus, treatment personalization requires a trade-off between patients' skills and task difficulties, which is still an open issue. In this study, we propose Elo ratings to support clinicians in tasks assignations and representing patients' skills to optimize rehabilitation outcomes.Objective
This study aims to stratify patients with ischemic stroke at an early stage of
SUBMITTER: Garcia-Rudolph A
PROVIDER: S-EPMC8663500 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature