EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models

arXiv:2303.05656v2 Announce Type: replace
Abstract: Electronic health records (EHR) contain a wealth of biomedical information, serving as valuable resources for the development of precision medicine systems. However, privacy concerns have resulted in limited access to high-quality and large-scale EHR data for researchers, impeding progress in methodological development. Recent research has delved into synthesizing realistic EHR data through generative modeling techniques, where a majority of proposed methods relied on generative adversarial networks (GAN) and their variants for EHR synthesis. Despite GAN-based …

abstract arxiv biomedical concerns cs.cv cs.lg data development diffusion diffusion models ehr electronic electronic health records health however information medicine precision precision medicine privacy progress quality records research researchers resources scale synthesis systems type wealth