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AdminApr 15, 2022< 1 min read

Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study


JMIR Medical Informatics published this study which evaluates the ability of common utility metrics to rank synthetic data generation methods according to performance on a specific analytic workload. The workload of interest is the use of synthetic data for logistic regression prediction models, which is a very frequent workload in health research.



Following the acquisition of Replica Analytics by Aetion, the generative AI technology previously known as Replica Synthesis is now Aetion® Generate and continues to create privacy-enhancing synthetic data.