Table 2.
Comparison of ADAS-Cog and MMSE prediction results by our proposed SMTL method and three feature selection methods: Lasso, TGL, and cFSGL, using Corr and RMSE measurement.
ADAS–Cog | MMSE | |||||||
---|---|---|---|---|---|---|---|---|
Lasso | TGL | cFSGL | SMTL | Lasso | TGL | cFSGL | SMTL | |
Baseline Corr | 0.32 ± 0.08 | 0.49 ± 0.08 | 0.58 ± 0.08 | 0.77 ± 0.05 | 0.51 ± 0.09 | 0.56 ± 0.12 | 0.64 ± 0.08 | 0.75 ± 0.08 |
M06 Corr | 0.48 ± 0.07 | 0.50 ± 0.07 | 0.59 ± 0.05 | 0.78 ± 0.04 | 0.49 ± 0.07 | 0.48 ± 0.10 | 0.63 ± 0.10 | 0.79 ± 0.10 |
M12 Corr | 0.46 ± 0.12 | 0.52 ± 0.09 | 0.62 ± 0.05 | 0.79 ± 0.04 | 0.52 ± 0.06 | 0.57 ± 0.08 | 0.64 ± 0.12 | 0.79 ± 0.12 |
M24 Corr | 0.57 ± 0.08 | 0.53 ± 0.08 | 0.69 ± 0.05 | 0.84 ± 0.04 | 0.61 ± 0.05 | 0.58 ± 0.05 | 0.65 ± 0.05 | 0.83 ± 0.06 |
Baseline RMSE | 5.19 ± 0.33 | 5.53 ± 0.32 | 5.20 ± 0.33 | 3.81 ± 0.45 | 2.25 ± 0.20 | 2.30 ± 0.24 | 2.24 ± 0.21 | 1.75 ± 0.20 |
M06 RMSE | 5.48 ± 0.62 | 5.90 ± 0.65 | 5.48 ± 0.63 | 4.36 ± 0.46 | 2.75 ± 0.31 | 2.85 ± 0.33 | 2.76 ± 0.32 | 2.31 ± 0.29 |
M12 RMSE | 6.25 ± 0.58 | 6.74 ± 0.63 | 6.24 ± 0.59 | 4.91 ± 0.56 | 3.42 ± 0.49 | 3.59 ± 0.52 | 3.42 ± 0.50 | 2.48 ± 0.40 |
M24 RMSE | 7.95 ± 1.20 | 7.81 ± 1.39 | 7.96 ± 1.23 | 6.00 ± 1.00 | 4.05 ± 0.58 | 4.48 ± 0.82 | 4.04 ± 0.58 | 3.00 ± 0.38 |