Cite
Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.
MLA
Feeny, Albert K., et al. “Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.” Circulation. Arrhythmia and Electrophysiology, vol. 13, no. 8, Aug. 2020, p. e007952. EBSCOhost, https://doi.org/10.1161/CIRCEP.119.007952.
APA
Feeny, A. K., Chung, M. K., Madabhushi, A., Attia, Z. I., Cikes, M., Firouznia, M., Friedman, P. A., Kalscheur, M. M., Kapa, S., Narayan, S. M., Noseworthy, P. A., Passman, R. S., Perez, M. V., Peters, N. S., Piccini, J. P., Tarakji, K. G., Thomas, S. A., Trayanova, N. A., Turakhia, M. P., & Wang, P. J. (2020). Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology. Circulation. Arrhythmia and Electrophysiology, 13(8), e007952. https://doi.org/10.1161/CIRCEP.119.007952
Chicago
Feeny, Albert K, Mina K Chung, Anant Madabhushi, Zachi I Attia, Maja Cikes, Marjan Firouznia, Paul A Friedman, et al. 2020. “Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.” Circulation. Arrhythmia and Electrophysiology 13 (8): e007952. doi:10.1161/CIRCEP.119.007952.