Table 8.
Paired t-test result by MLPNN and other classifier w.r.t. p score value < 0.05
| Disease | Class | Classifier | Accuracy | Sensitivity | Specificity | Precision |
|---|---|---|---|---|---|---|
| Flu | YES | MLPNNV/s k-NN | 3.33 × 10−5 | 3.31 × 10−5 | 2.21 × 10−5 | 4.1 × 10−5 |
| MLPNNV/s NB | 2.32 × 10−5 | 1.48 × 10−4 | 1.03 × 10−5 | 2.05 × 10−4 | ||
| MLPNN V/s DT | 1.89 × 10−5 | 1.07 × 10−4 | 1.01 × 10−5 | 1.78 × 10−4 | ||
| MLPNN V/s LR | 0.037 | 0.030 | 0.038 | 0.088 | ||
| MLPNN V/s SVM | 0.031 | 0.025 | 0.030 | 0.058 | ||
| Lung congestion | YES | MLPNN V/s k-NN | 3.3 × 10−6 | 5.9 × 10−5 | 2.9 × 10−7 | 1.9 × 10−4 |
| MLPNN V/s NB | 2.8 × 10−5 | 2.4 × 10−5 | 1.96 × 10−5 | 1.95 × 10−5 | ||
| MLPNN V/s DT | 1.9 × 10−5 | 1.1 × 10−5 | 0.99 × 10−5 | 1.25 × 10−5 | ||
| MLPNN V/s LR | 0.0013 | 0.083 | 0.094 | 0.0287 | ||
| MLPNN V/s SVM | 0.0003 | 0.013 | 0.054 | 0.087 | ||
| Diarrhea | YES | MLPNN V/s k-NN | 4.5 × 10−5 | 4.42 × 10−5 | 2.88 × 10−5 | 4.7 × 10−5 |
| MLPNN V/s NB | 3.9 × 10−5 | 3.19 × 10−5 | 2.43 × 10−5 | 2.27 × 10−5 | ||
| MLPNN V/s DT | 2.9 × 10−5 | 3.09 × 10−5 | 2.14 × 10−5 | 1.97 × 10−5 | ||
| MLPNN V/s LR | 0.019 | 0.033 | 0.058 | 0.039 | ||
| MLPNN V/s SVM | 0.07 | 0.03 | 0.35 | 0.26 | ||
| Anemia | YES | MLPNN V/s k-NN | 8.3 × 10−7 | 7.8 × 10−6 | 3.8 × 10−7 | 2.3 × 10−3 |
| MLPNN V/s NB | 3.9 × 10−5 | 5.2 × 10−5 | 1.8 × 10−5 | 2.9 × 10−5 | ||
| MLPNN V/s DT | 1.9 × 10−5 | 4.2 × 10−5 | 0.8 × 10−5 | 0.9 × 10−5 | ||
| MLPNN V/s LR | 0.0094 | 0.0065 | 0.0029 | 0.0078 | ||
| MLPNN V/s SVM | 0.0054 | 0.0045 | 0.0008 | 0.0028 | ||
| Gastrointestinal | YES | MLPNN V/s k-NN | 5.5 × 10−5 | 5.02 × 10−5 | 7.88 × 10−5 | 5.7 × 10−5 |
| MLPNN V/s NB | 6.9 × 10−5 | 4.19 × 10−5 | 6.43 × 10−5 | 2.27 × 10−5 | ||
| MLPNN V/s DT | 1.9 × 10−5 | 2.19 × 10−5 | 3.44 × 10−5 | 1.97 × 10−5 | ||
| MLPNN V/s LR | 0.059 | 0.073 | 0.068 | 0.059 | ||
| MLPNN V/s SVM | 0.027 | 0.023 | 0.045 | 0.046 | ||
| Flu | NO | MLPNN V/s k-NN | 8.2 × 10−5 | 5.2 × 10−5 | 5.3 × 10−5 | 3.2 × 10−5 |
| MLPNN V/s NB | 4.9 × 10−5 | 4.1 × 10−5 | 4.1 × 10−5 | 2.6 × 10−5 | ||
| MLPNN V/s DT | 0.89 × 10−5 | 3.7 × 10−4 | 2.01 × 10−5 | 1.18 × 10−4 | ||
| MLPNN V/s LR | 0.077 | 0.080 | 0.098 | 0.058 | ||
| MLPNN V/s SVM | 0.0018 | 0.0021 | 0.0029 | 0.0022 | ||
| Lung congestion | NO | MLPNN V/s k-NN | 2.2 × 10−6 | 1.7 × 10−6 | 1.5 × 10−5 | 1.3 × 10−6 |
| MLPNN V/s NB | 1.4 × 10−5 | 2.7 × 10−5 | 1.7 × 10−5 | 1.5 × 10−5 | ||
| MLPNN V/s DT | 0.29 × 10−5 | 6.6 × 10−4 | 2.5 × 10−5 | 3.8 × 10−4 | ||
| MLPNN V/s LR | 0.044 | 0.081 | 0.098 | 0.058 | ||
| MLPNN V/s SVM | 0.019 | 0.013 | 0.017 | 0.019 | ||
| Diarrhea | NO | MLPNN V/s k-NN | 6.4 × 10−4 | 5.8 × 10−3 | 4.6 × 10−3 | 4.1 × 10−4 |
| MLPNN V/s NB | 4.8 × 10−3 | 3.5 × 10−3 | 2.7 × 10−3 | 2.8 × 10−3 | ||
| MLPNN V/s DT | 5.9 × 10−5 | 4.5 × 10−5 | 6.4 × 10−5 | 4.7 × 10−5 | ||
| MLPNN V/s LR | 0.045 | 0.071 | 0.088 | 0.066 | ||
| MLPNN V/s SVM | 0.033 | 0.028 | 0.015 | 0.014 | ||
| Anemia | NO | MLPNN V/s k-NN | 3.4 × 10−5 | 1.5 × 10−5 | 1.7 × 10−5 | 1.9 × 10−5 |
| MLPNN V/s NB | 3.1 × 10−5 | 2.8 × 10−5 | 2.6 × 10−5 | 2.1 × 10−5 | ||
| MLPNN V/s DT | 2.9 × 10−5 | 4.2 × 10−5 | 0.8 × 10−5 | 0.9 × 10−5 | ||
| MLPNN V/s LR | 0.01 | 0.0085 | 0.005 | 0.007 | ||
| MLPNN V/s SVM | 0.0019 | 0.0017 | 0.001 | 0.004 | ||
| Gastrointestinal | NO | MLPNN V/s k-NN | 4.4 × 10−4 | 3.8 × 10−3 | 4.1 × 10−3 | 4.8 × 10−4 |
| MLPNN V/s NB | 6.1 × 10−3 | 2.8 × 10−3 | 3.7 × 10−3 | 3.7 × 10−3 | ||
| MLPNN V/s DT | 3.7 × 10−5 | 1.5 × 10−5 | 2.4 × 10−5 | 7.7 × 10−5 | ||
| MLPNN V/s LR | 0.040 | 0.071 | 0.098 | 0.046 | ||
| MLPNN V/s SVM | 0.03 | 0.020 | 0.055 | 0.01 |
k-NN k-nearest neighbor, NB Naive Bayes, DT decision tree, SVM support vector machine, LR logistic regression, MLPNN multi-layer perceptron neural network.