Development of a Robust Parallel and Multi-Composite Machine Learning Model for Improved Diagnosis of Alzheimer’s Disease: Correlation with Dementia-Associated Drug Usage and AT(N) Protein Biomarkers
Introduction Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that affects millions worldwide, posing significant challenges for early and accurate diagnosis. Traditional diagnostic approaches rely