Unsupervised learning on electronic health records to uncover heterogeneity in Alzheimer’s disease and related dementias

Alzheimer’s Disease (AD) is a heterogenous disease with distinct etiologies, disease courses, and/or age of onset, which may be associated with different clinical features. Here, we aim to use unsupervised learning techniques on electronic health records (EHRs) from a group of memory clinic patients to characterize heterogeneity in this disease population.