Identifying High‐Risk Groups for Alzheimer's Disease Using Deep Embedded Clustering in Wisconsin Registry for Alzheimer's Prevention Participants

Abstract

Background: Individuals in the early stages of Alzheimer's disease (AD) constitute a heterogeneous group, with diverse risk factor profiles such as chromosomal sex, apolipoprotein E (APOE) genotype, and comorbidities, evolving over distinct time courses.