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.
Patient flow prediction via discriminative learning of mutually-correcting processes.IEEE transactions on Knowledge and Data Engineering, 29(1):157–171
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.