Synthetic Data Generation Through Statistical Explosion: Improving Classification Accuracy Of Coronary Artery Disease Using Ppg

Synthetic data generation has recently emerged as a substitution technique for handling the problem of bulk data needed in training machine learning algorithms. Healthcare, primarily cardiovascular domain is a major area where synthetic physiological data
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