Identifying Clinical Subgroups/Clusters of Alzheimer’s Patients from Optum’s De-Identified Market Clarity Database Using Machine Learning Techniques (P5-3.004)
To identify and categorize Alzheimer’s disease (AD) patients into clinically relevant groups based on demographics, symptoms, and comorbidities.
Authors
- Vikash Verma (ORCID: https://orcid.org/0000-0003-2371-4164)
Institutions
- Optum (United States) (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000211931
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00