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

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...

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Bibliographic Details
Published in:Scientific reports Vol. 14; no. 1; pp. 14412 - 15
Main Authors: Kühnel, Lisa, Schneider, Julian, Perrar, Ines, Adams, Tim, Moazemi, Sobhan, Prasser, Fabian, Nöthlings, Ute, Fröhlich, Holger, Fluck, Juliane
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 22.06.2024
Nature Publishing Group
Nature Portfolio
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ISSN:2045-2322, 2045-2322
Online Access:Get full text
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