
Synthetic Data Generation: Balancing Privacy Protection and Representative Training Sets
Synthetic data generation, or synthetic control methods, produce new synthetic data that replicate the statistical patterns of observed real-world data. It’s always devoid of any real personal or sensitive information. The hospitals, insurance companies, and other healthcare organizations that comprise the U.S. Use it to test and train machine learning models, and to meet the […]
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