Specificity, sensitivity, accuracy results for discrimination of unaffected participants at high genetic risk for bipolar disorders and low risk controls based on machine learning applied to white and grey matter in each site and in the combined sample
| Sample, % | |||
|---|---|---|---|
| Result | Halifax (n = 27) | Prague (n = 18) | Combined (n = 45) |
| White matter | |||
| SVM | |||
| Sensitivity | 74.07 | 77.78 | 75.56 |
| Specificity | 70.37 | 66.67 | 62.22 |
| Accuracy | 72.22 | 72.23 | 68.89 |
| p value | 0.001 | 0.001 | 0.001 |
| GPC | |||
| Sensitivity | 70.37 | 77.78 | 71.11 |
| Specificity | 70.37 | 61.11 | 60.00 |
| Accuracy | 70.37 | 69.45 | 65.56 |
| p value | 0.003 | 0.022 | 0.002 |
| Grey matter | |||
| SVM | |||
| Sensitivity | 62.96 | 55.56 | 53.33 |
| Specificity | 48.15 | 66.67 | 60.00 |
| Accuracy | 55.56 | 61.12 | 56.67 |
| p value | 0.25 | 0.11 | 0.13 |
| GPC | |||
| Sensitivity | 55.56 | 61.11 | 53.33 |
| Specificity | 51.85 | 61.11 | 57.78 |
| Accuracy | 53.71 | 61.11 | 55.56 |
| p value | 0.35 | 0.13 | 0.17 |
GPC = Gaussian process classifiers; SVM = support vector machines.