Synthetic data generation for a longitudinal cohort study – evaluation, method extension and reproduction of published data analysis results

Abstract excerpt

Access to individual-level health data is essential for gaining new insights and advancing science. In particular, modern methods based on artificial intelligence rely on the availability of and access to large datasets. In the health sector, access to individual-level data is often challenging due to privacy concerns. A promising alternative is the generation of fully synthetic data, i.e., data generated through...

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