A machine learning algorithm to predict a culprit lesion after out of hospital cardiac arrest.

MLA

Pareek, Nilesh, et al. “A Machine Learning Algorithm to Predict a Culprit Lesion after out of Hospital Cardiac Arrest.” Catheterization and Cardiovascular Interventions : Official Journal of the Society for Cardiac Angiography & Interventions, vol. 102, no. 1, July 2023, pp. 80–90. EBSCOhost, https://doi.org/10.1002/ccd.30677.

APA

Pareek, N., Frohmaier, C., Smith, M., Kordis, P., Cannata, A., Nevett, J., Fothergill, R., Nichol, R. C., Sullivan, M., Sunderland, N., Johnson, T. W., Noc, M., Byrne, J., MacCarthy, P., & Shah, A. M. (2023). A machine learning algorithm to predict a culprit lesion after out of hospital cardiac arrest. Catheterization and Cardiovascular Interventions : Official Journal of the Society for Cardiac Angiography & Interventions, 102(1), 80–90. https://doi.org/10.1002/ccd.30677

Chicago

Pareek, Nilesh, Christopher Frohmaier, Mathew Smith, Peter Kordis, Antonio Cannata, Jo Nevett, Rachael Fothergill, et al. 2023. “A Machine Learning Algorithm to Predict a Culprit Lesion after out of Hospital Cardiac Arrest.” Catheterization and Cardiovascular Interventions : Official Journal of the Society for Cardiac Angiography & Interventions 102 (1): 80–90. doi:10.1002/ccd.30677.