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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585991/
https://www.ncbi.nlm.nih.gov/pubmed/36274750
http://dx.doi.org/10.1177/17483026211065379

Ejemplares similares