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. 2013 Apr 18;20(4):778–786. doi: 10.1136/amiajnl-2012-001588

Table 5.

The AUROC values for each clinical endpoint among patients undergoing PCI

LR OC OC (Neg) TC TC (CS) OP OP (CS)
IL-DEATH 0.662 0.895 0.896 0.896 0.909 0.918 0.916
IL-ECABG 0.654 0.729 0.729 0.691 0.802 0.765 0.817
IL-STRK 0.498 0.735 0.735 0.740 0.560 0.655 0.634
IL-TAMPONADE 0.665 0.732 0.732 0.672 0.662 0.702 0.646
IL-PERF 0.604 0.630 0.630 0.640 0.709 0.644 0.709
IL-AC-CL 0.597 0.643 0.643 0.642 0.652 0.643 0.661
IL-P-ED 0.710 0.850 0.853 0.856 0.883 0.835 0.892
IL-UNTRTD-DISSECTION 0.597 0.643 0.643 0.646 0.661 0.643 0.660
IL-SBO 0.582 0.541 0.541 0.594 0.633 0.531 0.643
IL-N-RFL 0.735 0.643 0.653 0.652 0.770 0.673 0.750
IL-VTVFC 0.810 0.750 0.750 0.782 0.822 0.780 0.828
IL-CS 0.863 0.767 0.769 0.830 0.889 0.820 0.889
IL-ANG 0.719 0.536 0.550 0.599 0.712 0.583 0.701
Average AUROC 0.669 0.700 0.702 0.711 0.743 0.707 0.750
Average rank 5.23 4.92 4.92 4.00 2.54 4.23 2.15

The best values are indicated in boldface and the second best in italics. The OP-SVM (CS) performed best on seven PCI endpoints and second best on three PCI endpoints. The last rows show the average AUROC and the average ranks of the algorithms.

AUROC, area under the receiver operating characteristic curve; LR, logistic regression; OP-SVM, one-plus-class support vector machine; PCI, percutaneous coronary intervention.