Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Shannon K. S. Kroes"'
Publikováno v:
Journal of Cybersecurity and Privacy, Vol 3, Iss 4, Pp 882-894 (2023)
Synthetic data generation is becoming an increasingly popular approach to making privacy-sensitive data available for analysis. Recently, cluster-based synthetic data generation (CBSDG) has been proposed, which uses explainable and tractable techniqu
Externí odkaz:
https://doaj.org/article/51eae3367d2a42d186b5d4b278168e18
Publikováno v:
Journal of the American Medical Informatics Association, 30(1), 16-25
JAMIA: A Scholarly Journal of Informatics in Health and Biomedicine, 30(1), 16-25. OXFORD UNIV PRESS
JAMIA: A Scholarly Journal of Informatics in Health and Biomedicine, 30(1), 16-25. OXFORD UNIV PRESS
Objective Privacy is a concern whenever individual patient health data is exchanged for scientific research. We propose using mixed sum-product networks (MSPNs) as private representations of data and take samples from the network to generate syntheti