Table 3.
The comparison of our proposed methods (MDTL), its two variant methods (MDTC and MDTFS), and SVM(as a baseline method) in three binary classification problems.
| AD vs. NC Classification | |||||
|---|---|---|---|---|---|
| Method | Accuracy (%) | Sensitivity (%) | Specificity (%) | AUC | p-value |
| SVM | 85.8 | 84.6 | 85.9 | 0.933 | <0.0001 |
| MDTC | 88.4 | 87.2 | 88.5 | 0.950 | <0.0001 |
| MDTFS | 93.4 | 93.3 | 93.5 | 0.982 | <0.05 |
| MDTL | 94.7 | 94.1 | 94.8 | 0.988 | - |
| MCI vs. NC Classification | |||||
| Method | Accuracy (%) | Sensitivity (%) | Specificity (%) | AUC | p-value |
| SVM | 72.5 | 78.8 | 60.4 | 0.769 | <0.0001 |
| MDTC | 75.8 | 81.4 | 65.1 | 0.810 | <0.0001 |
| MDTFS | 80.2 | 84.8 | 71.4 | 0.876 | <0.05 |
| MDTL | 81.5 | 85.8 | 73.3 | 0.882 | - |
| pMCI vs. sMCI Classification | |||||
| Method | Accuracy (%) | Sensitivity (%) | Specificity (%) | AUC | p-value |
| SVM | 67.1 | 61.0 | 71.5 | 0.728 | <0.0001 |
| MDTC | 69.2 | 63.5 | 73.3 | 0.742 | <0.0001 |
| MDTFS | 72.8 | 67.8 | 76.4 | 0.792 | <0.05 |
| MDTL | 73.8 | 69.0 | 77.4 | 0.796 | - |