Cita APA (7a ed.)
Bouzid, Z., Faramand, Z., Gregg, R. E., Helman, S., Martin-Gill, C., Saba, S., . . . Al-Zaiti, S. (2021 Supplement). Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome. Journal of Electrocardiology, 69, 31-38.
Cita Chicago Style (17a ed.)
Bouzid, Zeineb, Ziad Faramand, Richard E. Gregg, Stephanie Helman, Christian Martin-Gill, Samir Saba, Clifton Callaway, Ervin Sejdić, y Salah Al-Zaiti. "Novel ECG Features and Machine Learning to Optimize Culprit Lesion Detection in Patients with Suspected Acute Coronary Syndrome." Journal of Electrocardiology 69 (2021 Supplement): 31-38.
Cita MLA (9a ed.)
Bouzid, Zeineb, et al. "Novel ECG Features and Machine Learning to Optimize Culprit Lesion Detection in Patients with Suspected Acute Coronary Syndrome." Journal of Electrocardiology, vol. 69, 2021 Supplement, pp. 31-38.
Precaución: Estas citas no son 100% exactas.