Back

Machine learning analysis including social determinants of health for predication of mortality following transcatheter aortic valve implantation: a single center experience

9 December 2021 (08:00 - 20:00)
Organised by:
Congress Presentation Part of: e-posters session - Echocardiography Valvular Heart Disease EACVI Premium Access EuroEcho 2021

About the speaker

Photo
Doctor Graham Husband

UAB Hospital, Birmingham (United States of America)

290 More presentations in this session

Presentation thumbnail
Association of 24-hour ambulatory central aortic pressure and left atrium-ventriculo-arterial interactions
Doctor N. Georgieva (Sofia, BG)
Abstract Slides
Presentation thumbnail
Breast cancer patients presenting with cardiotoxicity - risk factors and role of cardioprotective drugs
Doctor M. Martins de Carvalho (Porto, PT)
Abstract Slides
Presentation thumbnail
Global longitudinal strain and territorial longitudinal strain in determining myocardial viability in out of window period anterior wall myocardial infarction patients
Slides
Presentation thumbnail
Effect of sodium-glucose cotransporter 2 (SGLT2) inhibitors on left ventricular remodelling and longitudinal strain: a prospective observational study
Doctor F. Gonzalez Teston (Merida, ES)
Abstract Slides
Presentation thumbnail
Correlation between the left ventricular strain and the severity of coronary atherosclerosis in patients with coronary artery disease
Doctor R. Alieva (Tashkent, UZ)
Abstract Slides

Access the full session

Session thumbnail
e-posters session - Echocardiography

The Event

Event poster

EuroEcho 2021

9 December 2021 08:00 CET
You may be interested in
thumbnail
Congress Presentation
Disparities in outcomes of Transcatheter Aortic Valve Replacement among patients with heart failure: a nationwide study in unites states from 2012-2018
22 May 2022
thumbnail
Congress Presentation
Machine learning for prediction of all-cause mortality in acute coronary syndrome
31 August 2024
thumbnail
Congress Presentation
Prediction of aortic stenosis progression using artificial intelligence: a machine learning model based on echocardiographic data
22 November 2025
thumbnail
Congress Presentation
What drives success in models predicting heart failure outcome?
28 August 2020

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources