Table 4.
Comparison of the regression performance of all methods with bi-modality data on 4-JRMI, i.e., AD/MCI-C/MCI-NC/NC
Methods | ADAS-Cog
|
MMSE
|
||
---|---|---|---|---|
CC | RMSE | CC | RMSE | |
FS | 0.491 ± 0.34 | 5.759 ± 1.05 | 0.440 ± 0.16 | 2.366 ± 0.38 |
PCA | 0.510 ± 0.56 | 5.647 ± 0.97 | 0.453 ± 0.47 | 2.390 ± 0.27 |
CCA | 0.522 ± 0.25 | 5.531 ± 0.91 | 0.462 ± 0.53 | 2.334 ± 0.31 |
SJCR | 0.538 ± 0.85 | 5.639 ± 0.97 | 0.493 ± 0.33 | 2.389 ± 0.30 |
M3T | 0.521 ± 0.71 | 5.452 ± 1.01 | 0.528 ± 0.32 | 2.321 ± 0.27 |
Proposed | 0.553 ± 0.34 | 3.926 ± 0.19 | 0.567 ± 0.23 | 1.929 ± 0.13 |
The boldface denotes the best performance of each column. (CC: Correlation Coefficient; RMSE: Root Mean Squared Error)