R-HessELM with inclined entropy features predicts CHF from ECG signals with 98.49% accuracy.
Neurocomputing102, 31–44 (2013) [4]
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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.