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Data-driven classification of patients with primary progressive aphasia

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Highlights • There is current controversy over how to classify PPA variants.• We used a k-means clustering algorithm, blind to diagnosis, to divide patients.• Patients grouped based on similarities in… Click to show full abstract

Highlights • There is current controversy over how to classify PPA variants.• We used a k-means clustering algorithm, blind to diagnosis, to divide patients.• Patients grouped based on similarities in linguistic and neuropsychological profile.• One cluster of patients with selective semantic impairment.• Two clusters with non-semantic profile, differentiated by overall level of language/cognitive impairment.

Keywords: classification patients; data driven; driven classification; patients primary; primary progressive; progressive aphasia

Journal Title: Brain and Language
Year Published: 2017

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