Cargando…
Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation
BACKGROUND: There has been growing interest in data synthesis for enabling the sharing of data for secondary analysis; however, there is a need for a comprehensive privacy risk model for fully synthetic data: If the generative models have been overfit, then it is possible to identify individuals fro...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
JMIR Publications
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704280/ https://www.ncbi.nlm.nih.gov/pubmed/33196453 http://dx.doi.org/10.2196/23139 |