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Synthetic Data Case Study : Sharing Complex Health System Data

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New methods, such as synthetic data generation, have the potential to unlock the historically siloed and difficult-to-access data sets, and provide a channel for readily available access in a secure and reliable manner. Synthetic data is not considered to be personal information because there is no one-to-one mapping between the synthetic records and real people.

Recently, Heath city and his collaborators have synthesized a complex longitudinal health system dataset and evaluated its utility in a typical series of epidemiological analyses.

Guest speaker : Reg Joseph, CEO of Health City

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