Research Article
Smart Healthcare: Disease Prediction Using the Cuckoo-Enabled Deep Classifier in IoT Framework
| Method/Metrics | MSSO-ANFIS | MDCNN | ANN | CNN | Deep-conv LSTM | Proposed cuckoo-based deep-conv LSTM |
| Training percentage | Accuracy (%) | 92.70 | 96.17 | 85.15 | 87.80 | 94.74 | 97.59 | Sensitivity (%) | 90.47 | 94.92 | 81.92 | 85.08 | 93.97 | 95.87 | Specificity (%) | 94.07 | 96.13 | 89.14 | 91.04 | 95.17 | 97.09 |
| K-fold | Accuracy (%) | 83.95 | 84.67 | 80.03 | 82.72 | 84.17 | 85.18 | Sensitivity (%) | 80.86 | 81.12 | 77.78 | 79.97 | 80.50 | 81.74 | Specificity (%) | 88.53 | 88.63 | 86.80 | 87.85 | 88.04 | 89.22 |
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