Table 5. Classification results using cortical thickness, cortical volume, subcortical volume and the MMSE score.
| Feature Set | Selected Attributes | Classifier | Accuracy | Sensitivity | Specificity | AUC |
|---|---|---|---|---|---|---|
| CT,CV,SV,MMSE | MMSE | Naïve Bayes | 0.845 | 0.844 | 0.843 | 0.9 |
| Hippocampus L | ||||||
| Hippocampus R | ||||||
| Amygdala R | Logistic Regression | 0.832 | 0.822 | 0.818 | 0.838 | |
| Parahippocampal_volume R | ||||||
| Precuneus_volume L | ||||||
| Precuneus_thickness R | SVM | 0.85 | 0.844 | 0.841 | 0.879 | |
| Supramarginal_thickness R | ||||||
| Entorhinal_volume R | ||||||
| Superiorparietal_volume R |
Abbreviations: CT-- cortical thickness; CV-- cortical volume; SV-- subcortical volume.
L-- Left hemisphere; R-- Right hemisphere.