Privacy-preserving record linkage in large databases using secure multiparty computation
Abstract Background Practical applications for data analysis may require combining multiple databases belonging to different owners, such as health centers. The analysis should be performed without violating privacy of neither the centers themselves, nor the patients whose records these centers stor...
Main Authors: | Peeter Laud, Alisa Pankova |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-10-01
|
Series: | BMC Medical Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12920-018-0400-8 |
Similar Items
-
Privacy preserving linkage using multiple dynamic match keys
by: Sean Randall, et al.
Published: (2019-05-01) -
Optimization of the Mainzelliste software for fast privacy-preserving record linkage
by: Florens Rohde, et al.
Published: (2021-01-01) -
An Evaluation Framework for Privacy-Preserving Record Linkage
by: Dinusha Vatsalan, et al.
Published: (2014-06-01) -
Private Blocking Technique for Multi-party Privacy-Preserving Record Linkage
by: Shumin Han, et al.
Published: (2017-05-01) -
Parallel Oblivious Array Access for Secure Multiparty Computation and Privacy-Preserving Minimum Spanning Trees
by: Laud Peeter
Published: (2015-06-01)