R-HessELM with inclined entropy features predicts CHF from ECG signals with 98.49% accuracy.
NeuralComputingandApplications 28(10),3073–3094(2017)[8]
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Regularized HessELM and Inclined Entropy Measurement for Congestive Heart Failure Prediction
R-HessELM with inclined entropy features predicts CHF from ECG signals with 98.49% accuracy.