Quantifying Fidelity and Utility in Synthetic Healthcare Data.

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Bibliographic Details
Title: Quantifying Fidelity and Utility in Synthetic Healthcare Data.
Authors: Sadeghi S; Department for Medical Data Science, Leipzig University Medical Center, Leipzig, Germany.; Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany., Gamisch J; Department for Medical Data Science, Leipzig University Medical Center, Leipzig, Germany.; Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany., Kirsten T; Department for Medical Data Science, Leipzig University Medical Center, Leipzig, Germany.; Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany.; Faculty Applied Computer and Bio Sciences, Mittweida University of Applied Sciences, Mittweida, Germany.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 1039-1040.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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