<scp>Data‐driven</scp> discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records

Abstract

Four subphenotypes were computationally derived that correlated with cardiovascular diseases and mental health illnesses. ML algorithms based on patient demographics, diagnosis, and treatment demonstrated promising results in predicting the risk of developing AD at different time points across an individual's lifespan.