Interpretable Machine Learning for Cognitive Aging: Handling Missing Data and Uncovering Social Determinants

Abstract

Early detection of Alzheimer’s disease (AD) is critical, as neuropathologic change and modifiable social behavioral risks accumulate years before diagnosis. Identifying higher-risk individuals earlier enables prevention, timely care, and more equitable resource allocation.