Article

Data Quality Verification Metrics in Medicine: Experiments and Evaluations from the Perspectives of Safety and Utility

2025-08-05

Abstract excerpt

<title>Abstract</title> <p>Medical data is crucial not only for research but also for clinical decision support systems (CDSS). However, its use is often limited by strict privacy concerns and data scarcity, particularly for fields with small patient cohorts like rare diseases. Synthetic data is emerging as a promising solution, yet universal and standardized quality metrics are still lacking.This study reviews a...

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Literature Corpus work: 417c608e-90ac-5f19-a129-6a9a55b0abbd
DOI: 10.21203/rs.3.rs-7152856/v1

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