Research Article
An Efficient Combination among sMRI, CSF, Cognitive Score, and APOE ε4 Biomarkers for Classification of AD and MCI Using Extreme Learning Machine
Table 6
10-fold cross-validated classification performance for MCIs vs. MCIc.
| Features measure | ELM | SVM-RBF | SVM-linear | ACC% | SEN% | SPE% | AUC | ACC% | SEN% | SPE% | ACC% | SEN% | SPE% |
| Cortical thickness | 63.71 | 71.10 | 38.37 | 0.64 | 57.18 | 65.53 | 60.38 | 50.05 | 71.18 | 68.13 | Surface area | 61.43 | 72.28 | 74.80 | 0.69 | 54.25 | 63.22 | 76.17 | 58.27 | 72.23 | 64.85 | Volume | 67.85 | 84.40 | 87.73 | 0.74 | 59.17 | 78.28 | 67.55 | 62.14 | 74.45 | 57.73 | CSF | 71.37 | 78.84 | 68.57 | 0.72 | 64.73 | 60.09 | 72.78 | 67.33 | 78.82 | 68.78 | APOE + MMSE | 76.09 | 87.13 | 72.09 | 0.79 | 65.53 | 68.81 | 67.43 | 68.08 | 72.21 | 66.33 | Concatenation (all_features_set) | 83.38 | 93.01 | 75.77 | 0.85 | 71.37 | 81.16 | 76.75 | 75.71 | 78.38 | 84.67 |
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