Adversarial random forests generate synthetic epidemiological data that aligns with original findings across six replication studies from German and Canadian cohorts.
Sys- tematic review of generative adversarial networks (GANs) for medical image classification and segmentation
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Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests
Adversarial random forests generate synthetic epidemiological data that aligns with original findings across six replication studies from German and Canadian cohorts.