Table 3.
Comparisons of the classification accuracy of three different combinations of features.
Group | Static | Static+Dynamic | Static+Dynamic+Network |
---|---|---|---|
AD vs. NORMAL | 89.6% | 94.8% (p < 0.0001) | 96.1% (p < 0.002) |
P-MCI vs. S-MCI | 76.7% | 80.3% (p < 0.0001) | 81.7% (p < 0.003) |
The p-value shows the significance of improvement by comparing with the static method.