A data-driven approach to post-stroke aphasia classification and lesion-based prediction.

Landrigan, Jon-Frederick; Zhang, Fengqing; Mirman, Daniel

Landrigan, Jon-Frederick; Zhang, Fengqing; Mirman, Daniel.

Affiliation

Landrigan JF; Department of Psychology, Drexel University, Philadelphia, PA 19104 USA.
Zhang F; Department of Psychology, Drexel University, Philadelphia, PA 19104 USA.
Mirman D; Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK.

Brain ; 144(5): 1372-1383, 2021 06 22.

Article in En | MEDLINE | ID: mdl-34046670

Subject(s)

Aphasia/classification; Aphasia/etiology; Machine Learning; Stroke/complications; Stroke/pathology; Aphasia/pathology; Cluster Analysis; Humans

Key words

aphasia; language processing; lesion-based diagnosis; machine learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aphasia / Stroke / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Brain Year: 2021 Document type: Article Country of publication: United kingdom

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