Supervised Machine Learning Based Noninvasive Prediction of Atrial Flutter Mechanism from P-to-P Interval Variability under Imbalanced Dataset Conditions

<div>Empirical CDF of the original and augmented P-P intervals of all FAFL records at best augmentation rate (400%).</div>

Computational Intelligence and Neuroscience

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Figure 8

Figure 8: Supervised Machine Learning Based Noninvasive Prediction of Atrial Flutter Mechanism from P-to-P Interval Variability under Imbalanced Dataset Conditions 

Figure 8 | Supervised Machine Learning Based Noninvasive Prediction of Atrial Flutter Mechanism from P-to-P Interval Variability under Imbalanced Dataset Conditions 