Privacy and Utility of Private Synthetic Data for Medical Data Analyses

Privacy and Utility of Private Synthetic Data for Medical Data Analyses

The increasing availability and use of sensitive personal data raises a set of issues regarding the privacy of the individuals behind the data. These concerns become even more important when health data are processed, as are considered sensitive (according to most global regulations). Privacy Enhanc...

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Bibliographic Details
Main Authors: Arno Appenzeller, Moritz Leitner, Patrick Philipp, Erik Krempel, Jürgen Beyerer
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
synthetic data generation
differential privacy
secondary use
medical data
private data processing
open source framework
Online Access:https://www.mdpi.com/2076-3417/12/23/12320

Internet

https://www.mdpi.com/2076-3417/12/23/12320

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