Explainable EEG-based machine learning for early diagnosis of Alzheimer’s disease and frontotemporal dementia (opens in new tab)

The quick and accurate diagnosis of Alzheimer’s disease (AD) and Frontotemporal Dementia (FTD) is a significant and unresolved challenge in clinical neurology, with early identification being crucial for prompt intervention and disease management. This study presents AutoSSM-ICA-EEG, an automated and interpretable framework that incorporates Fast Independent Component Analysis (FastICA) for artifact removal and relevant feature extraction, few-shot AutoML for efficient hyperparameter optimiza...