NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management
Moazemi S, Adams T, Ng HG, Kühnel L, Schneider J, Näher A-F, Fluck J, Frohlich H (2024)
Studies in health technology and informatics 317: 21-29.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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SHTI-317-SHTI240834.pdf
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Autor*in
Moazemi, Sobhan;
Adams, Tim;
Ng, Hwei Geok;
Kühnel, LisaUniBi ;
Schneider, Julian;
Näher, Anatol-Fiete;
Fluck, Juliane;
Frohlich, Holger
Einrichtung
Abstract / Bemerkung
Individual health data is crucial for scientific advancements, particularly in developing Artificial Intelligence (AI); however, sharing real patient information is often restricted due to privacy concerns. A promising solution to this challenge is synthetic data generation. This technique creates entirely new datasets that mimic the statistical properties of real data, while preserving confidential patient information. In this paper, we present the workflow and different services developed in the context of Germany's National Data Infrastructure project NFDI4Health. First, two state-of-the-art AI tools (namely, VAMBN and MultiNODEs) for generating synthetic health data are outlined. Further, we introduce SYNDAT (a public web-based tool) which allows users to visualize and assess the quality and risk of synthetic data provided by desired generative models. Additionally, the utility of the proposed methods and the web-based tool is showcased using data from Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Center for Cancer Registry Data of the Robert Koch Institute (RKI).
Stichworte
NFDI4Health;
Synthetic Health Data;
Generative AI
Erscheinungsjahr
2024
Zeitschriftentitel
Studies in health technology and informatics
Band
317
Seite(n)
21-29
Urheberrecht / Lizenzen
ISSN
0926-9630
eISSN
1879-8365
Page URI
https://pub.uni-bielefeld.de/record/2992366
Zitieren
Moazemi S, Adams T, Ng HG, et al. NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management. Studies in health technology and informatics. 2024;317:21-29.
Moazemi, S., Adams, T., Ng, H. G., Kühnel, L., Schneider, J., Näher, A. - F., Fluck, J., et al. (2024). NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management. Studies in health technology and informatics, 317, 21-29. https://doi.org/10.3233/SHTI240834
Moazemi, Sobhan, Adams, Tim, Ng, Hwei Geok, Kühnel, Lisa, Schneider, Julian, Näher, Anatol-Fiete, Fluck, Juliane, and Frohlich, Holger. 2024. “NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management”. Studies in health technology and informatics 317: 21-29.
Moazemi, S., Adams, T., Ng, H. G., Kühnel, L., Schneider, J., Näher, A. - F., Fluck, J., and Frohlich, H. (2024). NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management. Studies in health technology and informatics 317, 21-29.
Moazemi, S., et al., 2024. NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management. Studies in health technology and informatics, 317, p 21-29.
S. Moazemi, et al., “NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management”, Studies in health technology and informatics, vol. 317, 2024, pp. 21-29.
Moazemi, S., Adams, T., Ng, H.G., Kühnel, L., Schneider, J., Näher, A.-F., Fluck, J., Frohlich, H.: NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management. Studies in health technology and informatics. 317, 21-29 (2024).
Moazemi, Sobhan, Adams, Tim, Ng, Hwei Geok, Kühnel, Lisa, Schneider, Julian, Näher, Anatol-Fiete, Fluck, Juliane, and Frohlich, Holger. “NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management”. Studies in health technology and informatics 317 (2024): 21-29.
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Daten bereitgestellt von European Bioinformatics Institute (EBI)
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