Table 5.
Comparison of SVM, LRA, ANN and APACHE II score for predicting MOF
| Variable | SVM (95% CI) | LRA (95% CI) | ANN (95% CI) | APACHE II score (95% CI) | P value |
|---|---|---|---|---|---|
| SEN | 75.00%(63.16–84.13%) | 79.17%(67.67–87.50%) | 86.11%(75.48–92.78%) | 80.56%(69.20–88.59%) | 0.413 |
| SPE | 81.68%(75.30–86.75%)b, c | 77.49%(70.78–83.07%) | 65.45%(58.19–72.07%)a | 65.45%(58.19–72.07%)a | < 0.001 |
| FPR | 18.32%(12.84–23.81%)b, c | 22.51%(16.59–28.43%) | 34.55%(27.79–41.31%)a | 34.55%(27.79–41.31%)a | < 0.001 |
| FNR | 25.00%(15.00–35.00%) | 20.83%(11.45–32.21%) | 13.89%(5.90–21.88%) | 19.44%(10.30–28.58%) | 0.413 |
| PPV | 60.67%(49.72–70.69%)c | 57.00%(46.72–66.73%) | 48.44%(39.58–57.39%) | 46.77%(37.83–55.92%) | 0.129 |
| NPV | 89.66%(83.91–93.58%) | 90.80%(85.01–94.58%) | 92.59%(86.45–96.16%) | 89.93%(83.38–94.18%) | 0.827 |
| Accuracy | 79.85%(74.10–83.80%)b, c | 77.95%(72.94–82.96%) | 71.10%(65.62–76.58%) | 69.58%(64.02–75.14%)a | 0.014 |
| AUC | 0.840 (0.783–0.896) | 0.832 (0.773–0.890) | 0.834 (0.777–0.890) | 0.814 (0.759–0.869) | – |
aCompared with LRA, P < 0.05
bCompared with ANN, P < 0.05
cCompared with APACHE II score, P < 0.05
P value denoted the overall statistical result for the three models and APACHE II score
Entries in boldface showed significant difference