Table 1 Comparison of existing literature with proposed approach.
From: Synthetic healthcare data utility with biometric pattern recognition using adversarial networks
References | Methods/Algorithms/Main characteristics | Objectives | |||
|---|---|---|---|---|---|
A | B | C | D | ||
Machine learning algorithm for synthetic data training | ✓ | ✓ | |||
Latent transformation and differentiations of synthetic data | ✓ | ✓ | |||
Three dimensional detection for synthetic face biometric units | ✓ | ✓ | |||
Secured health care analysis with synthetic data | ✓ | ✓ | |||
Synthetic data for health data education with time series variable | ✓ | ✓ | |||
Data generative process with tabular health records | ✓ | ✓ | |||
Biometric technology for health care settings | ✓ | ✓ | |||
Proposed | Deep convolutional and conditional adversarial networks for privacy preserving synthetic data | ✓ | ✓ | ✓ | ✓ |
