Mehmet Can Ay

A benchmark of text embedding models for semantic harmonization of Alzheimer's disease cohorts

2025 · The Journal of Prevention of Alzheimer s Disease

BACKGROUND: Harmonizing diverse healthcare datasets is a challenging task due to inconsistent naming conventions. Manual harmonization is time- and resource-intensive, limiting scalability for multi-cohort Alzheimer's Disease research. Large Language Models, or specifically text-embedding models, offer …