Research Article
Depression Disorder Classification of fMRI Data Using Sparse Low-Rank Functional Brain Network and Graph-Based Features
Table 2
Classification performance of sparse FBN.
| Feature | NSF | Accuracy (%) | Sensitivity (%) | Specificity (%) |
| CC | 10 | 81.67 | 80.65 | 82.76 | LE | 10 | 83.33 | 77.42 | 89.66 | CPL | ā | 55.00 | 45.16 | 65.52 | GE | ā | 53.33 | 48.39 | 58.62 | D | 54 | 83.33 | 80.65 | 86.21 | BC | 113 | 73.33 | 77.42 | 68.97 | PC | 6 | 73.33 | 61.29 | 86.21 | AND | 10 | 68.33 | 74.19 | 62.07 | Eight features | 70 | 85.00 | 83.87 | 86.21 |
|
|