Table 3.
Performance validation of diagnosis system over different methods
| Terms | DTCN [30] | 1DCNN [31] | MoibleNet [40] | ASPP-DTC-1DCNN-AM [32] | RPAOSM-ESO-BCDNet |
|---|---|---|---|---|---|
| Accuracy | 88.24427 | 89.69466 | 91.37405 | 93.81679 | 94.58015 |
| Sensitivity | 88.08989 | 89.88764 | 91.46067 | 93.48315 | 94.60674 |
| FNR | 88.3237 | 89.59538 | 91.32948 | 93.98844 | 94.56647 |
| Specificity | 79.51318 | 81.63265 | 84.43983 | 88.88889 | 89.95726 |
| FPR | 11.6763 | 10.40462 | 8.67052 | 6.011561 | 5.433526 |
| Precision | 11.91011 | 10.11236 | 8.539326 | 6.516854 | 5.393258 |
| FDR | 88.3237 | 89.59538 | 91.32948 | 93.98844 | 94.56647 |
| NPV | 20.48682 | 18.36735 | 15.56017 | 11.11111 | 10.04274 |
| FOR | 6.487148 | 5.487805 | 4.589372 | 3.444181 | 2.850356 |
| F1_Score | 83.58209 | 85.5615 | 87.81014 | 91.12815 | 92.22344 |
| MCC | 0.747006 | 0.77796 | 0.81307 | 0.864522 | 0.88134 |