Machine Learning Prediction Models of Optimal Time for Aortic Valve Replacement in Asymptomatic Patients

Author:

Alzghoul Salah,Smadi Othman,Al Bataineh Ali,Hatmal Mamon,Alamm Ahmad

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference38 articles.

1. Aortic stenosis: Medical and surgical management;Baumgartner;Heart,2005

2. ACC/AHA 2006 Guidelines for the management of patients with valvular heart disease;Bonow;Circulation,2006

3. Paradoxical low flow and/or low gradient severe aortic stenosis despite preserved left ventricular ejection fraction: Implications for diagnosis and treatment;Dumesnil;European Heart Journal,2010

4. Paradoxical low-flow, low-gradient severe aortic stenosis despite preserved ejection fraction is associated with higher afterload and reduced survival;Hachicha;Circulation,2007

5. Usefulness of the valvuloarterial impedance to predict adverse outcome in asymptomatic aortic stenosis;Hachicha;Journal of the American College of Cardiology,2009

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