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pro vyhledávání: '"Patria Fopiano"'
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
Publikováno v:
Catheterization and Cardiovascular Diagnosis. 23:300-301
Transvenous endomyocardial biopsy remains the most useful diagnostic aid in assessing rejection in the transplanted heart. Although invasive, the complications associated with endomyocardial biopsy are few, and the procedure is generally regarded as