Research Article
Evaluation of Brain Tortuosity Measurement for the Automatic Multimodal Classification of Subjects with Alzheimer’s Disease
Table 4
Performance of the RF classifier on the training/validation dataset, for different combinations of biomarkers used as feature vector.
| | Biomarker | V, NV | DC | CT | TR | Biochemical (CSF) | Cognitive (MMSE) | Number of features | Validation accuracy (N = 120) (μ ± σ) |
| 1 | ✓ | ✓ | ✓ | | | | 24 | 67.50 ± 0.16% | 2 | ✓ | ✓ | ✓ | ✓ | | | 30 | 76.67 ± 0.33% | 3 | ✓ | ✓ | ✓ | | ✓ | | 26 | 78.33 ± 0.23% | 4 | ✓ | ✓ | ✓ | ✓ | ✓ | | 32 | 80.83 ± 0.27% | 5 | ✓ | ✓ | ✓ | | ✓ | ✓ | 27 | 88.33 ± 0.11% | 6 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 33 | 90.00 ± 0.12% |
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