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Search Results - J. Nilas Young, MD, FACS
Search Results - J. Nilas Young, MD, FACS
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Parsimonious machine learning models to predict resource use in cardiac surgery across a statewide collaborativeCentral MessagePerspective
by
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
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JTCVS open
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Jtcvs Open
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Cardiac Surgery
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Covid-19
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Length Of Stay
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Machine Learning
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Resource Utilization
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