A survey of generative adversarial networks for synthesizing structured electronic health records

A survey of generative adversarial networks for synthesizing structured electronic health records

Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and point of care applications; however, many challenges such as data privacy concerns impede its optimal utilization. Deep generative models, particularly, Generative Adversarial Networks (GANs) show great promise...

书目详细资料
Main Authors:	Ghosheh, G, Zhu, T, Li, J
格式:	Journal article
语言:	English
出版:	Association for Computing Machinery 2024

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