Statistical Analysis
low disease
The metrics to indicate the classification performance of CNN included area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, and F1 score. To supplement the interpretation of the AUC on imbalanced data sets, ie, the high specificity caused by low disease prevalence, we also calculated the area under the precision-recall curve (AUPRC). The 95% CIs were calculated by bootstrapping with 100 iterations to estimate the uncertainty of these metrics.