Anamika Chakravarty

An Interpretable EEG Machine Learning Prototype for Alzheimer’s Disease Classification

Resting-state electroencephalography (EEG) can capture the slowing of neural oscillations associated with Alzheimer’s disease (AD), but many machine-learning studies remain difficult to inspect, reproduce, or test. This study developed an interpretable, subject-level AD versus healthy-control classifier from the datase...