Prakash MG Achary

The Synthetic Fidelity–Stability Framework (SFSF): A Systematic Multi-Dimensional Benchmark of Synthetic Clinical Laboratory Data Generators

The SFSF framework provides a practical, multi-criterion approach for selecting synthetic tabular data generators according to intended clinical laboratory use, balancing statistical realism, dependency preservation, privacy risk, and robustness to seed and output scale.