A Multifaceted benchmarking of synthetic electronic health record generation models

Synthetic health data have the potential to mitigate privacy concerns in supporting biomedical research and healthcare applications. Modern approaches for data generation continue to evolve and demonstrate remarkable potential. Yet there is a lack of a systematic assessment framework to benchmark me...

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Detalles Bibliográficos
Autores principales: Yan, Chao, Yan, Yao, Wan, Zhiyu, Zhang, Ziqi, Omberg, Larsson, Guinney, Justin, Mooney, Sean D., Malin, Bradley A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734113/
https://www.ncbi.nlm.nih.gov/pubmed/36494374
http://dx.doi.org/10.1038/s41467-022-35295-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734113/
https://www.ncbi.nlm.nih.gov/pubmed/36494374
http://dx.doi.org/10.1038/s41467-022-35295-1

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