Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.

MLA

Mou, Zongyang, et al. “Electronic Health Record Machine Learning Model Predicts Trauma Inpatient Mortality in Real Time: A Validation Study.” The Journal of Trauma and Acute Care Surgery, vol. 92, no. 1, Jan. 2022, pp. 74–80. EBSCOhost, https://doi.org/10.1097/TA.0000000000003431.

APA

Mou, Z., Godat, L. N., El-Kareh, R., Berndtson, A. E., Doucet, J. J., & Costantini, T. W. (2022). Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study. The Journal of Trauma and Acute Care Surgery, 92(1), 74–80. https://doi.org/10.1097/TA.0000000000003431

Chicago

Mou, Zongyang, Laura N Godat, Robert El-Kareh, Allison E Berndtson, Jay J Doucet, and Todd W Costantini. 2022. “Electronic Health Record Machine Learning Model Predicts Trauma Inpatient Mortality in Real Time: A Validation Study.” The Journal of Trauma and Acute Care Surgery 92 (1): 74–80. doi:10.1097/TA.0000000000003431.