Accelerating probabilistic privacy-preserving medical record linkage: A three-party MPC approach
Our novel PPRL method, based on secure 3-party computation, offers an efficient and scalable solution for large-scale record linkage while ensuring privacy protection. The approach demonstrates significant performance improvements, making it a promising tool for secure data integration in privacy-sensitive sectors.
Authors
- Noah J. M. Dietrich (ORCID: https://orcid.org/0000-0002-8314-3300)
- Ali Burak Ünal (ORCID: https://orcid.org/0000-0002-7279-620X)
- Mete Akgün (ORCID: https://orcid.org/0000-0003-4088-2784)
- Seyma Selcan Magara
Institutions
- Promotora de Informaciones (Spain) (ES)
- University of Tübingen (DE)
Publication Details
- Journal
- Journal of Biomedical Informatics
- Published
- 2025-10-04
- DOI
- https://doi.org/10.1016/j.jbi.2025.104920
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00