Fig. 2: The performance in identifying importation cases. | npj Digital Medicine

Fig. 2: The performance in identifying importation cases.

From: Identifying and forecasting importation and asymptomatic spreaders of multi-drug resistant organisms in hospital settings

Fig. 2

a The precision-recall curves (PRC). The x-axis represents precision, and the y-axis represents recall. The red and other color curves represent NeurABM and other baselines. A larger area under the precision-recall curve (AUPRC) indicates better performance. AUPRC values are listed in the legends, and NeurABM has the highest AUPRC value. b The negative predictive value (NPV) with different thresholds. The x-axis is the threshold for classification, and the y-axis is the NPV value. Circles, squares, and triangles correspond to the thresholds and NPV values where precision is 0.25, 0.5, and 0.75, respectively. A higher NPV value indicates fewer missing importation cases that are not identified and therefore better performance, and NeurABM has the highest NPV values. c The receiver operating characteristic (ROC) curves in identifying MRSA importation cases. The x-axis is the false positive rate, and the y-axis is the true positive rate. A larger area under the ROC (AUC-ROC) indicates better performance. AUC-ROC values are listed in the legends, and NeurABM has the highest AUC-ROC value. d The recall, F1 score, AUPRC, false positive rate, NPV, and AUC-ROC under different precisions (0.25, 0.5, 0.75). The best AUPRC and AUC-ROC are in bold.

Back to article page