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pro vyhledávání: '"Sanford Zeigler, MD"'
Autor:
Heather Holman, BS, Dimitar Baronov, PhD, Jeff McMurray, MD, Arman Kilic, MD, Marc Katz, MD, Sanford Zeigler, MD
Publikováno v:
JTCVS Open, Vol 22, Iss , Pp 354-361 (2024)
Objective: Machine learning (ML) may allow for improved discernment of hemodynamics and oxygen delivery compared to standard invasive monitoring. We hypothesized that an ML algorithm could predict impaired delivery of oxygen (IDO2) with comparable di
Externí odkaz:
https://doaj.org/article/a40d2692000444b393d5aeb6b6ee13ce
Publikováno v:
ASAIO Journal; 2019 Supplement, Vol. 65, p71-71, 1/4p
Publikováno v:
ASAIO Journal; 2019 Supplement, Vol. 65, p71-71, 1/4p
Publikováno v:
ASAIO Journal; 2019 Supplement, Vol. 65, p71-71, 1/4p
Publikováno v:
ASAIO Journal; 2019 Supplement, Vol. 65, p71-71, 1/4p
The first – and best – primer for the cardiovascular interventionalist – updated with more than twenty new chapters and all-new Q&A A Doody's Core Title for 2019! Filling a crucial gap in procedural knowledge, this groundbreaking reference was
