Comparison of Methods for Algorithmic Classification of Dementia Status in the Health and Retirement Study

摘要

Background:Dementia ascertainment is time-consuming and costly. Several algorithms use existing data from the US-representative Health and Retirement Study (HRS) to algorithmically identify dementia. However, relative performance of these algorithms remains unknown.