Generative Adversarial Networks Applied to Observational Health Data [article]

Georges-Filteau, Jeremy, Cirillo Elisa
2020 arXiv   pre-print
Having been collected for its primary purpose in patient care, Observational Health Data (OHD) can further benefit patient well-being by sustaining the development of health informatics. However, the potential for secondary usage of OHD continues to be hampered by the fiercely private nature of patient-related data. Generative Adversarial Networks (GAN) have Generative Adversarial Networks (GAN) have recently emerged as a groundbreaking approach to efficiently learn generative models that
more » ... e realistic Synthetic Data (SD). However, the application of GAN to OHD seems to have been lagging in comparison to other fields. We conducted a review of GAN algorithms for OHD in the published literature, and report our findings here.
arXiv:2005.13510v1 fatcat:v6ukcv7td5gddalp4svwa2z2di