Article

Mending Synthetic Healthcare Data with MAPS: Model Agnostic Post-hoc Synthetic Data Refinement Framework

2026-04-29

Abstract excerpt

<title>Abstract</title> <p>Healthcare research increasingly relies on machine learning to guide clinical decisions, yet access to patient data remains restricted due to privacy regulations and institutional policies. Synthetic data generation offers a promising solution, but current approaches face a critical challenge: raw synthetic data from generative models exhibit substantial fidelity and utility gaps compar...

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Literature Corpus work: 1f2308d9-ca7c-5226-8be4-5adc9c78cfe1
DOI: 10.21203/rs.3.rs-9379765/v1

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