Comparing Machine Learning and Traditional Models to Predict One‐Year Post‐Stroke Dementia Risk

Abstract

Background: Alzheimer's disease and related dementias (ADRD) are characterized by memory impairment, loss of independence, and increased mortality risk. Stroke is a well‐established risk factor, with approximately one in three stroke survivors developing ADRD.