Systematic review of 134 studies consolidates synthetic tabular health data evaluation methods into taxonomies and provides guidelines to address challenges like inconsistent metrics and limited reproducibility.
Morphology-preserving reconstruction of times series with missing data for enhancing deep learning-based classification.Biomedical Signal Processing and Control, 70:103052
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Critical Challenges and Guidelines in Evaluating Synthetic Tabular Data: A Systematic Review
Systematic review of 134 studies consolidates synthetic tabular health data evaluation methods into taxonomies and provides guidelines to address challenges like inconsistent metrics and limited reproducibility.