A predictive model for cognitive decline using social determinants of health
These findings highlight the potential of using accessible, low-cost SDoH survey data for predicting risk of cognitive decline in aging populations. They also underscore the importance of incorporating fairness metrics into predictive modeling pipelines to ensure equitable performance across diverse groups.
Authors
- Yu Leng (ORCID: https://orcid.org/0000-0002-7039-4127)
- Yingnan He
- Deborah Blacker
- Sudeshna Das
- Christine S. Ritchie
- Ana-Maria Vranceanu
Institutions
- Harvard University (US)
- Massachusetts General Hospital (US)
- Institute of Aging (CA)
Publication Details
- Journal
- Journal of Aging Research and Lifestyle
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1016/j.jarlif.2025.100056
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00