Research Article
Coronary Artery Disease Detection Using a Fuzzy-Boosting PSO Approach
Table 6
Comparison between classification algorithms according to accuracy, sensitivity, specificity, and number of rules.
| Method | Accuracy | Sensitivity | Specificity | Number of rules |
| Decision tree [35] | 78.91 | 72.01 | 84.48 | — | LTF-C [36] | 81.2 | — | — | — | Bagging [35] | 81.41 | 74.93 | 86.64 | — | -NN [33] | 81.5 | — | — | — | Bayesian model [37] | 82 | 87 | — | — | Decision tree (C4.5) [37] | 82.5 | 87.17 | — | — | SVM [37] | 82.5 | 88 | — | — | RST [33] | 85.2 | — | — | 27 | ANN [38] | 85.53 | — | — | — | Decision tree [33] | 85.6 | — | — | 83 | NN-Alizadeh [15] | 85.43 | 90.2 | 73.5 | — | En-PSO2 (this study) | 85.76 | 90.02 | 82.31 | 21.2 |
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