Fig. 2From: Machine learning based potentiating impacts of 12-lead ECG for classifying paroxysmal versus non-paroxysmal atrial fibrillationAUC of predictive model to classify PAF and non-PAF using test cohort. Models are classified by predictors included for training/validation cohort. Model 1 was trained using baseline characteristics. Model 2 was trained using baseline characteristics and ECG parameters. Model 3 was trained using baseline characteristics, ECG parameters, and echocardiographic parameters. Area under the receiver operating characteristic Curve, AUC; electrocardiography, ECG; non-paroxysmal atrial fibrillation, non-PAF; paroxysmal atrial fibrillation, PAFBack to article page