Research Article
An Intelligent Diagnostic System to Analyze Early-Stage Chronic Kidney Disease for Clinical Application
Table 11
Experimental result (accuracy (%)) comparison for CKD-15 with state-of-the-art methodologies.
| Methodology | NB | SVM | LR | KNN | PAC | RF | DT | GB | SGD | ADAB | MLP |
| Nishat et al. [3] | 90.50 | 99.36 | 99.36 | 94.3 | — | — | 98.10 | — | — | — | 94.3 | Gupta et al. [57] | — | — | 99.24 | — | — | 94.16 | 98.48 | — | | | | Herath et al. [1] | 93.33 | — | 95.00 | 98.33 | — | 100 | 100 | — | — | 100 | — | Chu et al. [58] | 95 | — | 96 | — | — | 99 | 98 | — | 98 | 96 | 98 | Gokiladevi et al. [59] | — | 73.75 | 94.68 | 67.5 | — | 98.75 | 96.25 | — | — | — | — | Chittora et al. [19] | — | 94.63 | 71.71 | 64.39 | — | 98.75 | 96.25 | — | — | — | — | Islam et al. [30] | 88.33 | 96.66 | — | 59.00 | — | 97.50 | 97.50 | 97.50 | 97.50 | 98.30 | — | Dritsas et al. [60] | 98.40 | — | 97.40 | 98.40 | — | 98.90 | 97.40 | — | — | — | — | Kaur et al. [61] | — | — | — | 74.00 | — | 96.00 | 95.00 | — | — | — | — | Proposed model without PCA | 94.04 | 62.91 | 95.36 | 70.2 | 54.3 | 100 | 100 | 99.34 | 73.51 | 100 | 92.72 | Proposed model | 96.03 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
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The best results are indicated in bold.
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