Does an EEG-based clinical decision support system using EMD and deep learning improve the early detection of Alzheimer's disease?
An EEG-based clinical decision support system using EMD and deep learning shows promise as a supplementary tool for the early diagnosis of Alzheimer's disease.
The study aims to assess and compare different proposed methodologies and determine the most effective combination approach for the early detection of AD. Our research findings strongly suggest that the proposed diagnostic support technique is a highly promising supplementary tool for discovering prospective diagnostic biomarkers that can greatly aid in the early clinical diagnosis of AD.
AlSharabi et al. (Thu,) studied this question.