Deep Learning, Artificial Intelligence, Heart Sounds, Sound Classification, Cardiology.
specificity of 99%, sensitivity of 98.5%, and f1-score of 98.8% were gained by the proposed model 3.2. SOTA Comparisons SOTA Comparisons on Left: PASCAL, Right: PhysioNet The proposed RNN (LSTM) model achieved the best classification accuracy in terms of different parameters like accuracy,