APA (7th ed.) Citation

B, T., S, B., J, B., F, G., JKK, V., FM, O., . . . RB, S. (2023). Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods. Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 25(3), 812. https://doi.org/10.1093/europace/euac260

Chicago Style (17th ed.) Citation

B, Toprak, et al. "Exploring the Incremental Utility of Circulating Biomarkers for Robust Risk Prediction of Incident Atrial Fibrillation in European Cohorts Using Regressions and Modern Machine Learning Methods." Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology 25, no. 3 (2023): 812. https://doi.org/10.1093/europace/euac260.

MLA (9th ed.) Citation

B, Toprak, et al. "Exploring the Incremental Utility of Circulating Biomarkers for Robust Risk Prediction of Incident Atrial Fibrillation in European Cohorts Using Regressions and Modern Machine Learning Methods." Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology, vol. 25, no. 3, 2023, p. 812, https://doi.org/10.1093/europace/euac260.