Figure 4
From: Brain imaging signatures of neuropathic facial pain derived by artificial intelligence
TNP versus HC classification models performance (A) and analysis of variance of feature weights (B). The areas under the ROC curves are 0.92 and 0.97 for the RF and LR, respectively (p < 0.05). The RF model prioritized DTI measures, whereas LR was agnostic regarding imaging modality. TNP trigeminal neuropathic pain, HC healthy control, ROC receiver operator curve, LR logistic regression (red ROC), RF random forest (blue ROC), DTI Diffusion Tensor Imaging.
