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To do this, the predictive algorithm XGBoost can be used, enabling the cluster to which it belongs becoming predicted as well as the corresponding Kaplan-Meier curve become connected with it. This prediction procedure is achieved 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, automatic ECG category simply by using deep understanding based methods h
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