Research Article
Development of Health Parameter Model for Risk Prediction of CVD Using SVM
Table 8
Sensitivity and specificity for SVM, Framingham model, and logistic regression model with diagnostic odds ratio.
| Parameter | Model based on SVM classifiers | Framingham risk model | LRA model | Value | 95% CI | Value | 95% CI | Value | 95% CI |
| Sensitivity | 0.682 | 0.589 to 0.764 | 0.52 | 0.4096 to 0.6275 | 0.48 | 0.3817 to 0.5809 | Specificity | 0.859 | 0.8224 to 0.89 | 0.70 | 0.6508 to 0.745 | 0.83 | 0.7926 to 0.8675 | Positive likelihood ratio | 4.863 | 3.697 to 6.396 | 1.73 | 1.326 to 2.261 | 2.87 | 2.14 to 3.85 | Negative likelihood ratio | 0.369 | 0.278 to 0.491 | 0.69 | 0.539 to 0.871 | 0.62 | 0.52 to 0.75 | Diagnostic odds ratio | 13.173 | 7.999 to 21.696 | 2.523 | 1.529 to 4.162 | 4.602 | 2.892 to 7.324 | AUC | 0.71 | 0.57 | 0.63 |
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