Table 4.
Comparison of the classification performance in the combination features
| Feature | ACC(%) | SEN(%) | SPE(%) | AUC |
|---|---|---|---|---|
| Static | 75.95 | 51.52 | 93.48 | 0.6614 |
| Dynamic | 87.38 | 87.88 | 86.96 | 0.8959 |
| Cognitive | 77.22 | 55.55 | 93.48 | 0.6414 |
| Static & Dynamic | 72.15 | 57.58 | 82.61 | 0.7444 |
| Static & Cognitive | 73.42 | 57.58 | 84.78 | 0.7345 |
| Dynamic & Cognitive | 87.34 | 75.76 | 95.65 | 0.9308 |
| All | 72.42 | 36.36 | 97.83 | 0.6443 |
ACC classification accuracy, SEN classification sensitivity, SPE classification specificity, AUC Area Under Curve. Static denotes the combination of all the static features, which is the same as Static_all in Table 2. Dynamic denotes the combination of all the dynamic features as shown in Table 3 (Dynamic_all). Cognitive denotes the combination of all the MMSE and ADAS-cog score features. All denotes the combination of all the types of features