Comprehensive evaluation framework for synthetic tabular data in health: fidelity, utility and privacy analysis of generative models with and without privacy guarantees.
- DOI
- 10.3389/fdgth.2025.1576290
- Published
- 2025
- Container
- Frontiers in digital health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fdgth.2025.1576290,
title = {Comprehensive evaluation framework for synthetic tabular data in health: fidelity, utility and privacy analysis of generative models with and without privacy guarantees.},
author = {Hernandez M and Osorio-Marulanda PA and Catalina M and Loinaz L and Epelde G and Aginako N},
year = {2025},
journal = {Frontiers in digital health},
doi = {10.3389/fdgth.2025.1576290},
url = {https://doi.org/10.3389/fdgth.2025.1576290}
}RIS
TY - JOUR TI - Comprehensive evaluation framework for synthetic tabular data in health: fidelity, utility and privacy analysis of generative models with and without privacy guarantees. AU - Hernandez M AU - Osorio-Marulanda PA AU - Catalina M AU - Loinaz L AU - Epelde G AU - Aginako N PY - 2025 JO - Frontiers in digital health DO - 10.3389/fdgth.2025.1576290 UR - https://doi.org/10.3389/fdgth.2025.1576290 ER -
APA
M, H., PA, O., M, C., L, L., G, E., & N, A. (2025). Comprehensive evaluation framework for synthetic tabular data in health: fidelity, utility and privacy analysis of generative models with and without privacy guarantees.. Frontiers in digital health. https://doi.org/10.3389/fdgth.2025.1576290
Source records
- pubmed · retrieved 2026-09-26T15:53:01.074Z