A machine learning framework for classifying dementia risk in mild cognitive impairment: evidence from a Korean genome-wide association study cohort
Our study highlights the potential of integrating genetic data with ML-based approaches for personalized dementia risk assessment. Although performance was modest in temporal validation, these findings support the feasibility of SNP-based ML stratification in Korean MCI populations.
Authors
- Hyo‐Jeong Ban (ORCID: https://orcid.org/0000-0002-4914-887X)
- Hye Ryeong Nam
- Sang Cheol Kim (ORCID: https://orcid.org/0000-0003-4389-9178)
- C. Chu
- M.H. Cho
- Jae Pil Jeon (ORCID: https://orcid.org/0009-0005-6253-7211)
Institutions
- Korea Institute of Oriental Medicine (KR)
- Korea Disease Control and Prevention Agency (KR)
Publication Details
- Journal
- Alzheimer s Research & Therapy
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1186/s13195-025-01894-5
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ajou University
- National Institutes of Health