Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters

Figure 1 Presentation of the study. Single-lead electrocardiography using Cardio-Qvark is performed at rest. Subsequently, participants perform exercise via bicycle ergometry (on SCHILLER device c 200; Bruce protocol or modified Bruce protocol). Immediately after bicycle ergometry, Cardio-Qvark is performed again while sitting. CTP: Computed tomography myocardial perfusion; ECG: Electrocardiography; ROC: Receiver operating characteristic.

Figure 2 Diagnostic accuracy of the load test and the built model. There was no statistical significance, but the model had better predictive properties, P = 0.337. AUC: Area under the receiver operating characteristic curve.