Article

Generating Patient’s Electronic Health Records with Unseen Diseases Using Ontology-enhanced Generative Adversarial Networks

2024-09-12

Abstract excerpt

<title>Abstract</title> <p>The generation of realistic synthetic personal health data such as those found in electronic health records may be useful for fundamental research, applied AI models, and to examine safeguards for data privacy. Generative Adversarial Networks (GANs) have been employed for this purpose, but their ability to generate data is largely constrained by the limitations of the data they are trai...

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Literature Corpus work: 7c760ffd-2d22-5a05-9c58-515bc2cd3c59
DOI: 10.21203/rs.3.rs-5043150/v1

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