Skip to main content
Fig. 1 | BMC Emergency Medicine

Fig. 1

From: Internal validation and comparison of the prognostic performance of models based on six emergency scoring systems to predict in-hospital mortality in the emergency department

Fig. 1

Left: The area under the Precision-Recall (PR) curve represents how a model balances the sensitivity and the positive predictive value. The y-axis represents the precision (positive predictive value in medical terms) and the x-axis represents recall (sensitivity). The AUCPR for SCS, WPS, RAPS, REMS, EWS, and RLD are 0.39, 0.42, 0.35, 0.34, 0.36, and 0.33 respectively. Right: The receiver operating characteristic (ROC) curves graphically represent sensitivity on the y-axis, and 1 - specificity on the x-axis. The area under the curve (AUC) gauges the discriminatory ability of a model. This area was: 0.714 for SCS, 0.727 for WPS, 0.661 for RAPS, REMS 0.678 for REMS, 0.699 for EWS and 0.657 for RLD in the ED.

Back to article page

BMC Emergency Medicine

ISSN: 1471-227X

Contact us