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Dual Semi-Supervised Learning for Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Neuropsychological Data

Computer Science

Dual Semi-Supervised Learning for Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Neuropsychological Data

F. D. Lorenzo, A. Antonioni, et al.

Discover how Francesco Di Lorenzo and his team developed a groundbreaking dual semi-supervised learning method to classify Alzheimer's disease, mild cognitive impairment, and normal controls using neuropsychological scores, achieving impressive accuracy that could enhance clinical diagnosis.

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