Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing

BACKGROUND: The exploitation of synthetic data in health care is at an early stage. Synthetic data could unlock the potential within health care datasets that are too sensitive for release. Several synthetic data generators have been developed to date; however, studies evaluating their efficacy and...

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Detalles Bibliográficos
Autores principales: Rankin, Debbie, Black, Michaela, Bond, Raymond, Wallace, Jonathan, Mulvenna, Maurice, Epelde, Gorka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400044/
https://www.ncbi.nlm.nih.gov/pubmed/32501278
http://dx.doi.org/10.2196/18910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400044/
https://www.ncbi.nlm.nih.gov/pubmed/32501278
http://dx.doi.org/10.2196/18910

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