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To do so, the predictive algorithm XGBoost is used, enabling the cluster to which it belongs become predicted as well as the corresponding Kaplan-Meier curve is related to it. This prediction procedure is accomplished with an overall Multi-class AUC of 99.08 %.Cardiac abnormality detection from Electrocardiogram (ECG) signals is a common task for cardiologists. To facilitate efficient and objective detection, automated ECG category by making use of deep discovering based methods are
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