Fig 7. The performance of the deep learning model in predicting COVID-19 and healthy subjects using shallow and deep breathing datasets.

Showing: (a) model’s predictions for both datasets and he corresponding confusion matrices, (b) evaluation metrics including accuracy, sensitivity, specificity, precision, and F1-score, (c) receiver operating characteristic (ROC) curves and corresponding area under the curve (AUROC) for COVID-19 and healthy subjects using both datasets.