Generation of Realistic Synthetic Validation Healthcare Datasets Using Generative Adversarial Networks.
Journal:
Studies in health technology and informatics
Published Date:
Jun 26, 2020
Abstract
BACKGROUND: Assurance of digital health interventions involves, amongst others, clinical validation, which requires large datasets to test the application in realistic clinical scenarios. Development of such datasets is time consuming and challenging in terms of maintaining patient anonymity and consent.
