Skip to main content
Fig. 1 | Arthritis Research & Therapy

Fig. 1

From: Identification and prediction of difficult-to-treat rheumatoid arthritis patients in structured and unstructured routine care data: results from a hackathon

Fig. 1

ROC-curve of the D2T RA identification model based on a feature importance analysis. AUC-ROC for an identification model to identify D2T and non-D2T RA patients based on structured UPOD data. The model is based on the most important features derived with logistic regression techniques from the available structured data from the UPOD. D2T, difficult-to-treat; RA, rheumatoid arthritis; AUC, area under the curve; ROC, receiver-operator curve; UPOD, Utrecht Patient Oriented Database

Back to article page