Deep Learning, Artificial Intelligence, Heart Sounds, Sound Classification, Medical.
for training are 2968 while 424 and 848 recordings were respectively, used for testing purpose. Based on Figure 10, CardioXNet showed overall accuracy of 88.09%, 88.08% precision, 87.98% recall and 88.03% F1 Score. SOTA Comparisons The proposed CardioXNet architecture outperforms or performs on par