Impacts of Data Synthesis: A Metric for Quantifiable Data Standards and Performances

Impacts of Data Synthesis: A Metric for Quantifiable Data Standards and Performances

Clinical data analysis could lead to breakthroughs. However, clinical data contain sensitive information about participants that could be utilized for unethical activities, such as blackmailing, identity theft, mass surveillance, or social engineering. Data anonymization is a standard step during da...

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Bibliographic Details
Main Authors: Gunjan Chandra, Pekka Siirtola, Satu Tamminen, Mikael J. Knip, Riitta Veijola, Juha Röning
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Data
Subjects:
synthpop
data sharing
data anonymization
machine learning
mutual information
data quality
Online Access:https://www.mdpi.com/2306-5729/7/12/178

Internet

https://www.mdpi.com/2306-5729/7/12/178

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