Skip to main content
Fig. 3 | Orphanet Journal of Rare Diseases

Fig. 3

From: A diagnostic support system based on pain drawings: binary and k-disease classification of EDS, GBS, FSHD, PROMM, and a control group with Pain2D

Fig. 3

Receiver operating characteristics (ROC) curves for binary classification of each RD versus CP. A ROC curve binary classification of EDS and CP. AUC = 0.899 (CI 0.829–0.954), B ROC curve binary classification of GBS and CP. AUC = 0.921 (CI 0.853–0.973), C ROC curve binary classification of FSHD or CP. AUC = 0.854 (CI 0.770–0.930), D ROC curve binary classification of PROMM and CP. AUC = 0.846 (CI 0.774–0.908). Confidence intervals are depicted as light blue band. Blue crosshairs indicate optimal threshold for classification

Back to article page