Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study

BACKGROUND: A regular task by developers and users of synthetic data generation (SDG) methods is to evaluate and compare the utility of these methods. Multiple utility metrics have been proposed and used to evaluate synthetic data. However, they have not been validated in general or for comparing SD...

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Detalles Bibliográficos
Autores principales: El Emam, Khaled, Mosquera, Lucy, Fang, Xi, El-Hussuna, Alaa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030990/
https://www.ncbi.nlm.nih.gov/pubmed/35389366
http://dx.doi.org/10.2196/35734

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030990/
https://www.ncbi.nlm.nih.gov/pubmed/35389366
http://dx.doi.org/10.2196/35734

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