Using GANs for Synthetic Data Generation of Time-Series Medical Records

The author explores the use of Generative Adversarial Networks (GANs) to generate synthetic medical records, focusing on privacy preservation and data quality. The main thesis is that GAN-based models can produce high-quality synthetic data while safeguarding privacy.