Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning
Titel:
Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning
Auteur:
Rempakos, Athanasios Alexandrou, Michaella Mutlu, Deniz Kalyanasundaram, Arun Ybarra, Luiz F. Bagur, Rodrigo Choi, James W. Poommipanit, Paul Khatri, Jaikirshan J. Young, Laura Davies, Rhian Benton, Stewart Gorgulu, Sevket Jaffer, Farouc A. Chandwaney, Raj Jaber, Wissam Rinfret, Stephane Nicholson, William Azzalini, Lorenzo Kearney, Kathleen E. Alaswad, Khaldoon Basir, Mir B. Krestyaninov, Oleg Khelimskii, Dmitrii Abi-Rafeh, Nidal Elguindy, Ahmed Goktekin, Omer Aygul, Nazif Rangan, Bavana V. Mastrodemos, Olga C. Al-Ogaili, Ahmed Sandoval, Yader Burke, M. Nicholas Brilakis, Emmanouil S.