USING TRANSFER LEARNING TO IMPROVE ALGORITHMIC DEMENTIA CLASSIFICATION ACROSS DIFFERENT RACIAL AND ETHNIC GROUPS

Abstract

Background: In the absence of clinical assessments, algorithmic ‘probable dementia’ estimation aids public health and epidemiological research on determinants and consequences of dementia. Algorithmic performances have differed by social and racial/ethnic groups due to heterogeneous sample sizes.