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
The findings underscore the need for group-specific interventions addressing stress mitigation for MCI prevention and culturally-tailored support systems to delay dementia progression. This machine learning approach reveals complex SDOH interactions that traditional methods might overlook, particularly for racial/ethnic underrepresented populations.
Authors
- Xiang Qi (ORCID: https://orcid.org/0000-0003-3958-8609)
- Chenxin Tan (ORCID: https://orcid.org/0000-0002-8596-3935)
- Yanping Jiang (ORCID: https://orcid.org/0000-0002-0931-9507)
- Wenbo Wu (ORCID: https://orcid.org/0000-0002-7642-9773)
- Qianyu Dong
- Jane Sze Yin Sui
Institutions
- Rutgers, The State University of New Jersey (US)
- University of California, Santa Cruz (US)
- Arizona State University (US)
- New York University (US)
Publication Details
- Journal
- The Journals of Gerontology Series B
- Published
- 2025-09-19
- DOI
- https://doi.org/10.1093/geronb/gbaf179
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00