| Methodology adopted | Accuracy (%) | Sensitivity (%) | Specificity (%) | Selected features |
| PCA-ANFIS (10x FC) [17] | 89.47 | 70 | 71.1 | 1, 2, 6, 7, 8 | LS-ELM (10x FC) [18] | 78.21 | 73.91 | 80 | 1, 2, 6, 8 | GDA-LS-ELM (10x FC) [18] | 79.16 | 79.1 | 83.33 | 1, 2, 6, 7, 8 | MLNN with LM (10x FC) [19] | 79.62 | 70 | 70.31 | 1, 2, 6, 8 | PNN (10x FC) [19] | 78.05 | 71 | 70.5 | 2, 6, 8 | LDA-MWELM [20] | 89.74 | 83.33 | 93.75 | 1, 2, 6, 7, 8 | Mean selection method [16] | 76.04 | 71 | 78 | 2, 6, 8 | Half selection method [16] | 75.91 | 69 | 79 | 1, 2, 6, 8 | Neural network for threshold selection [16] | 76.04 | 71 | 78 | 2, 6, 8 | PSO + ELM | 91.27 | 85.26 | 94.10 | 1, 2, 6, 8 | Proposed SRLPSO + ELM | 93.09 | 91.47 | 96.29 | 2, 6, 8 |
|
|