A. Niang

Assessing the fidelity of synthetic relational databases with high-dimensional categorical data: Proposal of a scalable visual framework.

BACKGROUND Although data reuse is increasingly common in healthcare research, changing regulatory frameworks are impeding these efforts. Synthetic data constitute a promising issue but also create challenges, such as the assessment of data fidelity and the ability to output identical statistical results. Conventional v...