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 8
Comparison of classification of MCIs vs. MCIc between the proposed method and existing state-of-the-art methods.
| Author | Data | Classifier | Feature selection | MCIs vs. MCIc (%) |
| Westman et al. [67] | MRI + CSF | OPLS | — | 68.5 | Zhang and Shen et al. [39] | MRI + PET + CSF | SVM | Multitask feature selection | 73.90 | Beheshti et al. [70] | sMRI | SVM | Feature ranking + genetic algorithm | 75.00 | Spasov et al. [71] | sMRI + cognitive measures + APOE + demographic | CNN | — | 86 | Moradi et al. [73] | MRI + age and cognitive | | — | 82 | Proposed method | MRI + CSF + APOE + MMSE | ELM | Filter (MRMR) + wrapper (SFS) | 83.38 |
|
|