Deep Learning, Artificial Intelligence, Heart Sounds, Sound Classification, Cardiology.
PASCAL, the proposed deep learning algorithm attained a better classification accuracy of 99.71%, specificity of 99.3%, the sensitivity of 98.6%, and 98.9% of f1-score as compared to the MLP as well as traditional ML classifiers. Table 5: On the PhysioNet dataset, the overall accuracy of 98.7%,