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A Multidimensional Benchmark of Generative Models for Neonatal Clinical Tabular Data: Trade-offs in Fidelity, Utility, and Realism

2026-05-25

Abstract excerpt

<title>Abstract</title> <p>The limited availability of neonatal clinical data, driven by small sample sizes, severe class imbalance, and data sensitivity, poses significant challenges for data-driven medical research. Synthetic data generation has emerged as a promising solution; however, the comparative performance of different generative models for neonatal tabular data remains insufficiently explored, particul...

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Literature Corpus work
281d8df8-02c9-5fba-bef5-b951c679378d
DOI
10.21203/rs.3.rs-9457158/v1
Open publication

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A Multidimensional Benchmark of Generative Models for Neonatal Clinical Tabular Data: Trade-offs in Fidelity, Utility, and RealismDOI 10.21203/rs.3.rs-9457158/v1
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