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DataSifter II: Partially synthetic data sharing of sensitive information containing time-varying correlated observations

There is a significant public demand for rapid data-driven scientific investigations using aggregated sensitive information. However, many technical challenges and regulatory policies hinder efficient data sharing. In this study, we describe a partially synthetic data generation technique for creati...

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Detalles Bibliográficos
Autores principales:	Zhou, Nina, Wang, Lu, Marino, Simeone, Zhao, Yi, Dinov, Ivo D
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585991/ https://www.ncbi.nlm.nih.gov/pubmed/36274750 http://dx.doi.org/10.1177/17483026211065379

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