Synthetic Tabular Data Evaluation in the Health Domain Covering Resemblance, Utility, and Privacy Dimensions

Background  Synthetic tabular data generation is a potentially valuable technology with great promise for data augmentation and privacy preservation. However, prior to adoption, an empirical assessment of generated synthetic tabular data is required across dimensions relevant to the target applicati...

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Detalles Bibliográficos
Autores principales: Hernadez, Mikel, Epelde, Gorka, Alberdi, Ane, Cilla, Rodrigo, Rankin, Debbie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306449/
https://www.ncbi.nlm.nih.gov/pubmed/36623830
http://dx.doi.org/10.1055/s-0042-1760247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306449/
https://www.ncbi.nlm.nih.gov/pubmed/36623830
http://dx.doi.org/10.1055/s-0042-1760247

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