AI RESEARCH
Critical Challenges and Guidelines in Evaluating Synthetic Tabular Data: A Systematic Review
arXiv CS.LG
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ArXi:2504.18544v3 Announce Type: replace Generating synthetic tabular health data is challenging, and evaluating their quality is equally, if not more, complex. This systematic review highlights the critical importance of rigorous evaluation of synthetic health data to ensure reliability, clinical relevance, and appropriate use. From an initial identification of 2067 relevant papers published in the last ten years, 134 studies were selected for detailed analysis.