المؤلفون: Arjun Verma, Yas Sanaiha, MD, Joseph Hadaya, MD, Anthony Jason Maltagliati, MD, Zachary Tran, MD, Ramin Ramezani, PhD, Richard J. Shemin, MD, Peyman Benharash, MD, Peyman Benharash, MD, FACS, Richard J. Shemin, MD, FACS, Nancy Satou, Tom Nguyen, MD, Carolyn Clary, Michael Madani, MD, FACS, Jill Higgins, Dawna Steltzner, Bob Kiaii, MD, FRCSC, FACS, J. Nilas Young, MD, FACS, Kathleen Behan, Heather Houston, Cindi Matsumoto, Jack C. Sun, MD, MS, FRCSC, Lisha Flavin, Patria Fopiano, Maricel Cabrera, Rakan Khaki, MPH, Polly Washabaugh, BS

المصدر: JTCVS Open, Vol 11, Iss , Pp 214-228 (2022)

مصطلحات موضوعية: cardiac surgery, resource utilization, length of stay, machine learning, COVID-19, Diseases of the circulatory (Cardiovascular) system, RC666-701, Surgery, RD1-811

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666273622001711; https://doaj.org/toc/2666-2736

URL الوصول: https://doaj.org/article/f8cbfbac6bbc4369bb0ab738c6f00778