Abstract 11629: Multicenter Development and Validation of a Machine Learning Risk Model to Predict Right Ventricular Failure Following Mechanical Circulatory Support: The STOP-RVF Score
Christos P. Kyriakopoulos(Veterans Health Administration), Stavros G. Drakos(University of Utah), Rami Alharethi(Intermountain Medical Center), Palak Shah(Alaska Heart and Vascular Institute), Theodoros V. Giannouchos(University of Alabama at Birmingham), Naila Ijaz(University of the Punjab), James C. Fang, Konstantinos Sideris(University of Utah), Elizabeth Dranow(University of Utah), Craig H. Selzman(University of Utah), Antigone Koliopoulou(University of Utah), Michael Bonios(University of Utah), Adithya Peruri(Henry Ford Hospital), Iosif Taleb(University of Utah), Josef Stehlik, W. Caine(University of Utah), Daniel Tang(Bon Secours Heart & Vascular Institute), M. Nelson(Intermountain Healthcare), Jennifer Cowger(St Vincent Hospital), Zachary Demertzis(Henry Ford Hospital), Ashley Elmer(Intermountain Healthcare), Thomas C. Hanff(University of Pennsylvania), Hassan Nemeh(Henry Ford Hospital), Omar Wever‐Pinzon(University of Utah)
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