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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

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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