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EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

Synthetic EHRs can offer a potential solution as they yield a database that is beyond de-identification hence immune to re-identification, while preserving temporal patterns in real longitudinal EHRs.

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Cite this as

Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Jimeng Sun (2024). Dataset: EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders. https://doi.org/10.57702/hqln49h8

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2012.10020
Author Siddharth Biswal
More Authors
Soumya Ghosh
Jon Duke
Bradley Malin
Walter Stewart
Jimeng Sun
Homepage https://doi.org/10.475/123_4