Developing a universal phenotyping algorithm to identify patients with clinically diagnosed and probable Alzheimer’s disease using electronic health record data

Despite significant advancements in our understanding of Alzheimer’s disease (AD) over the last decade, no disease‐modifying treatments exist for it. Rich clinical information on patients with AD is currently available in electronic health records (EHR) worldwide. Our aim is to develop a portable phenotyping algorithm to mine EHRs and identify patients with clinical and probable preclinical AD. Identified patients can subsequently be used as cohorts in future biomedical research studies.