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...

Mô tả đầy đủ

Chi tiết về thư mục
Những tác giả chính:	Ghosheh, G, Zhu, T, Li, J
Định dạng:	Journal article
Ngôn ngữ:	English
Được phát hành:	Association for Computing Machinery 2024

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