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pro vyhledávání: '"Lisha Flavin"'
Autor:
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
Publikováno v:
JTCVS Open, Vol 11, Iss , Pp 214-228 (2022)
Objective: We sought to several develop parsimonious machine learning models to predict resource utilization and clinical outcomes following cardiac operations using only preoperative factors. Methods: All patients undergoing coronary artery bypass g
Externí odkaz:
https://doaj.org/article/f8cbfbac6bbc4369bb0ab738c6f00778
