Research Article
Ensemble of Deep Learning Based Clinical Decision Support System for Chronic Kidney Disease Diagnosis in Medical Internet of Things Environment
Table 1
Result analysis of EDL-CDSS technique with five runs in terms of distinct measures.
| No. of runs | Sensitivity | Specificity | Accuracy | F-score | Kappa |
| Run-1 | 0.9600 | 0.9718 | 0.9659 | 0.9658 | 0.9545 | Run-2 | 0.9760 | 0.9677 | 0.9719 | 0.9721 | 0.9623 | Run-3 | 0.9760 | 0.9597 | 0.9679 | 0.9683 | 0.9568 | Run-4 | 0.9680 | 0.9718 | 0.9699 | 0.9699 | 0.9598 | Run-5 | 0.9600 | 0.9798 | 0.9699 | 0.9697 | 0.9600 | Average | 0.9680 | 0.9702 | 0.9691 | 0.9692 | 0.9587 |
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