Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea

MLA

Jennifer L. Dugan, et al. “Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.” Circulation: Arrhythmia and Electrophysiology, vol. 13, Aug. 2020. EBSCOhost, https://doi.org/10.1161/circep.120.008437.

APA

Jennifer L. Dugan, Patrick W. Johnson, M. Fernanda Bellolio, Anthony H. Kashou, Zachi I. Attia, Francisco Lopez-Jimenez, Johnathan M. Sheele, Rickey E. Carter, Michael Albus, Paul A. Friedman, Demilade Adedinsewo, & Peter A. Noseworthy. (2020). Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea. Circulation: Arrhythmia and Electrophysiology, 13. https://doi.org/10.1161/circep.120.008437

Chicago

Jennifer L. Dugan, Patrick W. Johnson, M. Fernanda Bellolio, Anthony H. Kashou, Zachi I. Attia, Francisco Lopez-Jimenez, Johnathan M. Sheele, et al. 2020. “Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.” Circulation: Arrhythmia and Electrophysiology 13 (August). doi:10.1161/circep.120.008437.