APA (7th ed.) Citation

Lee, C., Cannesson, M., Hofer, I., Rinehart, J., Subramaniam, K., Baldi, P., . . . Pinsky, M. R. Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: Protocol for a retrospective study. BMJ Publishing Group.

Chicago Style (17th ed.) Citation

Lee, Christine, Maxime Cannesson, Ira Hofer, Joseph Rinehart, Kathirvel Subramaniam, Pierre Baldi, Artur Dubrawski, and Michael R. Pinsky. Machine Learning of Physiological Waveforms and Electronic Health Record Data to Predict, Diagnose and Treat Haemodynamic Instability in Surgical Patients: Protocol for a Retrospective Study. BMJ Publishing Group.

MLA (9th ed.) Citation

Lee, Christine, et al. Machine Learning of Physiological Waveforms and Electronic Health Record Data to Predict, Diagnose and Treat Haemodynamic Instability in Surgical Patients: Protocol for a Retrospective Study. BMJ Publishing Group.