Patient-centric synthetic data generation, no reason to risk re-identification in biomedical data analysis

While nearly all computational methods operate on pseudonymized personal data, re-identification remains a risk. With personal health data, this re-identification risk may be considered a double-crossing of patients’ trust. Herein, we present a new method to generate synthetic data of individual gra...

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Detalles Bibliográficos
Autores principales: Guillaudeux, Morgan, Rousseau, Olivia, Petot, Julien, Bennis, Zineb, Dein, Charles-Axel, Goronflot, Thomas, Vince, Nicolas, Limou, Sophie, Karakachoff, Matilde, Wargny, Matthieu, Gourraud, Pierre-Antoine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006164/
https://www.ncbi.nlm.nih.gov/pubmed/36899082
http://dx.doi.org/10.1038/s41746-023-00771-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006164/
https://www.ncbi.nlm.nih.gov/pubmed/36899082
http://dx.doi.org/10.1038/s41746-023-00771-5

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