Machine learning approaches to racial/ethnic differences in social determinants of mild cognitive impairment and its progression to dementia in the All of Us Research Program.

ABSTRACT:

Objective

This study examines how social determinants of health (SDOH) influence mild cognitive impairment (MCI) and its progression to dementia across racial/ethnic groups, identifying disparities and key predictors using machine learning approaches.

Methods

We analyzed data from 83,180 participants aged 50+ in the All of Us Research Program (65,582 White, 6,207 Black, 4,170 Hispanic, 7,221 Other). The sample had mean ages ranging from 62.4 (Hispanic) to 68.1 (White) years, with significant gender disparities (70.9% Black females vs. 46.0% Other females). We developed machine learning classification models to predict MCI and its progression to dementia across the four racial/ethnic groups using 18 SDOH, along with key sociodemographic variables. We then applied SHapley Addi

SUBMITTER: Dong Q 

PROVIDER: S-EPMC12597675 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature