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.

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 participant...

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Bibliographic Details
Published in:	Journals of Gerontology Series B: Psychological Sciences & Social Sciences Vol. 80; no. 12; pp. 1 - 13
Main Authors:	Dong, Qianyu, Wu, Wenbo, Jiang, Yanping, Sui, Junyu, Tan, Chenxin, Qi, Xiang
Format:	Article
Published:	Oxford University Press / USA Dec2025
Subjects:	United States Ethnic groups Social determinants of health African Americans Hispanic Americans Artificial intelligence White people Sex discrimination Race Psychological stress Spirituality Health equity Social support Discrimination (Sociology) Psychosocial factors Active aging Disease risk factors Dementia risk factors Risk assessment Random forest algorithms Mild cognitive impairment Research funding Prediction models Receiver operating characteristic curves T-test (Statistics) Questionnaires Logistic regression analysis Descriptive statistics Multivariate analysis Chi-squared test Machine learning Comparative studies Data analysis software Disease progression Nosology Nonparametric statistics
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