MACHINE LEARNING USING SIMILARITY ANALYSIS IMPROVES RISK STRATIFICATION BEYOND SURGICAL RISK SCORES IN PATIENTS UNDERGOING TRANSCATHETER AORTIC VALVE REPLACEMENT

2019 ◽  
Vol 73 (9) ◽  
pp. 1371
Author(s):  
Yasir Abdul Ghaffar ◽  
Faizan Shaukat ◽  
Anand Desai ◽  
Muhammad Khalil ◽  
Mohamad Alkhouli ◽  
...  
Keyword(s):  
Machine Learning ◽  
Aortic Valve ◽  
Aortic Valve Replacement ◽  
Risk Stratification ◽  
Valve Replacement ◽  
Transcatheter Aortic Valve Replacement ◽  
Risk Scores ◽  
Similarity Analysis ◽  
Surgical Risk ◽  
Transcatheter Aortic Valve

Inaccuracy of available surgical risk scores to predict outcomes after transcatheter aortic valve replacement

2013 ◽  
Vol 14 (12) ◽  
pp. 894-898 ◽  
Author(s):  
Fabrizio D’Ascenzo ◽  
Flavia Ballocca ◽  
Claudio Moretti ◽  
Marco Barbanti ◽  
Valeria Gasparetto ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Aortic Valve Replacement ◽  
Valve Replacement ◽  
Transcatheter Aortic Valve Replacement ◽  
Risk Scores ◽  
Surgical Risk ◽  
Transcatheter Aortic Valve

Risk stratification for nonagenarians undergoing transcatheter aortic valve replacement

2019 ◽  
Vol 35 (2) ◽  
pp. 294-299
Author(s):  
Pey‐Jen Yu ◽  
Michael Catalano ◽  
Robert Palazzo ◽  
Hugh Cassiere ◽  
Nina Kohn ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Aortic Valve Replacement ◽  
Risk Stratification ◽  
Valve Replacement ◽  
Transcatheter Aortic Valve Replacement ◽  
Transcatheter Aortic Valve
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