Article

A Quantitative Comparison of Structural and Distributional Properties of Synthetic Tabular Data in Parkinson’s Disease

2025-05-03

Abstract excerpt

<h4>Background</h4> Parkinson’s disease (PD) research relies heavily on patient data, but access is often limited by privacy concerns, data scarcity, and collection costs. Synthetic data generation offers a potential solution, but its utility hinges on rigorously evaluated fidelity to real-world data. This study quantitatively assesses the structural and distributional fidelity of synthetic tabular data designed t...

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Literature Corpus work: 7dd526d5-0e87-5f6b-9bbc-05a77d8f69b6
DOI: 10.1101/2025.05.02.25326890

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