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Generating Electronic Health Records with Multiple Data Types and Constraints

Sharing electronic health records (EHRs) on a large scale may lead to privacy intrusions. Recent research has shown that risks may be mitigated by simulating EHRs through generative adversarial network (GAN) frameworks. Yet the methods developed to date are limited because they 1) focus on generatin...

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Bibliografiska uppgifter
I publikationen:AMIA Annu Symp Proc
Huvudupphovsmän: Yan*, Chao, Zhang*, Ziqi, Nyemba, Steve, Malin, Bradley A.
Materialtyp: Artigo
Språk:Inglês
Publicerad: American Medical Informatics Association 2021
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC8075510/
https://ncbi.nlm.nih.gov/pubmed/33936510
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