Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors
APPLIED SCIENCES-BASEL（2023）
Key words
synthetic categorical data generation,generative adversarial networks,imbalance learning,CTGAN,interpretable machine learning,cardiovascular disease
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