APA (7th ed.) Citation

E, A., ME, M., GD, B., A, P., PE, V., F, P., & GP, T. (2021). Detection of abnormal left ventricular geometry in patients without cardiovascular disease through machine learning: An ECG-based approach. Journal of clinical hypertension (Greenwich, Conn.), 23(5), 935. https://doi.org/10.1111/jch.14200

Chicago Style (17th ed.) Citation

E, Angelaki, Marketou ME, Barmparis GD, Patrianakos A, Vardas PE, Parthenakis F, and Tsironis GP. "Detection of Abnormal Left Ventricular Geometry in Patients Without Cardiovascular Disease Through Machine Learning: An ECG-based Approach." Journal of Clinical Hypertension (Greenwich, Conn.) 23, no. 5 (2021): 935. https://doi.org/10.1111/jch.14200.

MLA (9th ed.) Citation

E, Angelaki, et al. "Detection of Abnormal Left Ventricular Geometry in Patients Without Cardiovascular Disease Through Machine Learning: An ECG-based Approach." Journal of Clinical Hypertension (Greenwich, Conn.), vol. 23, no. 5, 2021, p. 935, https://doi.org/10.1111/jch.14200.