Cover: Using Artificial Intelligence  to Generate Synthetic Health Data

Using Artificial Intelligence to Generate Synthetic Health Data

Published Oct 3, 2023

by Federico Girosi, Sai Prathyush Katragadda, Joshua Steier, Raffaele Vardavas

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Generating synthetic data enables making sensitive data sets available to the research community. This report utilizes two off-the-shelf methods to generate synthetic health data. One method, synthpop, is based on standard statistical techniques. The other, CTGAN, is a deep learning generative adversarial network. The authors compare the performance of the methods and discuss the reasons for which synthpop outperforms CTGAN on these data.

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The research described in this report was conducted by RAND Health Care.

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