Table 3.
Classification results for the convergent 6-metabolite subacute mTBI panel.
| Classification Algorithm for Model | ROC AUC | 95% CI | Sensitivity/Specificity |
|---|---|---|---|
| LinSVM | 0.968 | 0.945–0.992 | - |
| PLS-DA | 0.977 | 0.945–0.992 | - |
| RandFor | 0.965 | 0.882–1.00 | - |
| LR | 0.939 | 0.734–0.984 | - |
| LR + 10FCV Discovery | 0.993 | 0.984–1.00 | 0.981/0.939 |
| LR + 10FCV Internal Validation | 0.893 | 0.789–0.996 | 0.947/0.850 |
mTBI = mild traumatic brain injury. ROC AUC = receiver operating characteristic area under the curve. CI = confidence interval. LinSVM = linear support vector machine. PLS-DA = partial least squares discriminant analysis. RandFor = random forests. LR = logistic regression. LR + 10FCV = logistic regression with 10-fold cross validation.