Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks阅读笔记
本文参考的原始论文地址https://arxiv.org/abs/1703.06490v1 摘要 获取电子健康记录(EHR)数据推动了医学研究的计算进步。然而，各种对隐私的关注，会限制我们的访问和协作。共享综合EHR数据可以减少风险。该文提出了一种新的方法-医学生成对抗网络(MedGAN)，来生成真实的综合EHRs。基于作为输入EHR数据集，medGAN可以通过自动编码器和生成对抗性网
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相关文章
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