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Abstract
Sharing health data for research is crucial but raises privacy concerns. Synthetic data, artificially generated to mimic real data, offers a promising solution. However, there's no consensus on evaluating its privacy and utility. This scoping review analyzes existing methods, finding a lack of standard approaches, highlighting the risk of trusting synthetic data without proper evaluation, and proposing steps toward uniform evaluation methods to facilitate synthetic data adoption in medicine.
Publisher
medRxiv
Published On
Nov 28, 2023
Authors
Bayrem Kaabachi, Jérémie Despraz, Thierry Meurers, Karen Otte, Mehmed Halilovic, Fabian Prasser, Jean Louis Raisaro
Tags
synthetic data
privacy
health data
evaluation methods
medical research
data sharing
utility
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