Table 4. Comparison Criteria for Both Models on Testing Set a.
Comparison Criteria | Artificial Neural Network | Cox Proportional Hazards |
---|---|---|
AUC (Stand. Error) | 0.864 (0.043) b | 0.806 (0.067) b |
Youden index J | 0.588 | 0.576 |
Sensitivity c | 78.3 | 65.2 |
Specificity c | 80.6 | 92.4 |
Positive predictive value c | 30.5 | 48.4 |
Negative predictive value c | 97.1 | 96.1 |
True prediction d | ||
Survival | 170 (97.1) | 195 (96.1) |
Dead | 41 (69.5) | 16 (51.6) |
Total | 211 (90.2) | 211 (90.2) |
a Cut points based on Youden associated criterion: ANN = 0.177 and Cox PH = 0.184.
b Level of significance = 0.01.
c values unit is %.
d Values are presented as No. (%).