Exploring the Influence of SSDOH and Self‐Identified Race on Resilience and Vulnerability using Machine Learning for NACC UDS
This machine learning model is a valuable tool for analyzing cognition and identifying abnormal aging patterns in large-scale datasets, including identification of vulnerable and resilient individuals. Understanding the influence of demographic variables in generating these predictions allows us to better understand their role in vulnerable and resilient aging.
Authors
- David A. Wolk (ORCID: https://orcid.org/0000-0002-3554-3481)
- Zahra Khodakarami
- Dawn Mechanic‐Hamilton
- Paul A. Yushkevich
- Emma P Fischer
- Christopher D. Brown
- Sandhitsu R. Das
Institutions
- University of Pennsylvania (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70857_105739
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00