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Conditional GAN for better embedding and generation of medical codes
Keywords GANs, Electronic Health Records, Representation Learning  +
Level Master  +
OneLineSummary Synthetic data generation of Electronic Health Records with a focus on medical codes  +
References Data: https://mimic.mit.edu/docs/about/ papers: https://dspace.mit.edu/handle/1721.1/128349 https://proceedings.neurips.cc/paper/2019/file/254ed7d2de3b23ab10936522dd547b78-Paper.pdf https://www.sciencedirect.com/science/article/pii/S0957417421000233
StudentProjectStatus Open  +
Supervisors Stefan Byttner + , Amira Soliman + , Kobra Etminani + , Atiye Sadat Hashemi +
Title Conditional GAN for better embedding and generation of medical codes  +
Categories StudentProject  +
Modification dateThis property is a special property in this wiki. 30 September 2022 14:57:34  +
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