Generating sequential electronic health records using dual adversarial autoencoder

Computer Science

• Records 100%
• Autoencoder 63%
• Electronics 54%
• Modeling 18%
• Optimization 9%
• Simulation Mode 9%
• Medical Information 9%
• Privacy Preservation 9%
• Baseline Model 9%
• Data Distribution 9%
• Generative Adversarial Networks 9%
• Patient-Data 9%
• Generative Model 9%
• Privacy Leakage 9%
• Information Mart 9%
• Evaluation 9%
• Database 9%