Machine learning for predicting early left ventricular abnormalities in the general population

Back

ESC Premium Access

Machine learning for predicting early left ventricular abnormalities in the general population

Session: New approaches in risk stratification

Topic: Imaging

Speaker: Associate Professor T. Kuznetsova (Leuven, BE)

Event: ESC Congress 2019

Congress Presentation

Add to my library

About the speaker

Associate Professor Tatiana Kuznetsova

KU Leuven, Leuven (Belgium)

2 presentations

0 follower

6 more presentations in this session

Differential associations of common risk factors and biomarkers with atrial fibrillation and heart failure and their ability to predict sequential disease onset and mortality

Speaker: Doctor B. Schrage (Hamburg, DE)

Access

Abstract

Slides

Resting heart rate in late adolescence and long term risk of cardiomyopathy - A nationwide study of one million Swedish men

Speaker: Mr M. Lindgren (Gothenburg, SE)

Access

Abstract

Slides

Risk prediction for ASCVD in primary prevention patients on statin therapy

Speaker: Doctor N. Pagidipati (Durham, US)

Access

Abstract

Slides

Body mass index or waist and hip circumference as predictors of outcome in the UK biobank

Speaker: Doctor P. Pellicori (Glasgow, GB)

Access

Abstract

Slides

Body composition and mortality from vascular or metabolic causes among 150,000 participants in the Mexico City Prospective Study

Speaker: Unknown L. Friedrichs (Oxford, GB)

Access

Abstract

Access the full session

New approaches in risk stratification

Speakers: Associate Professor T. Kuznetsova, Doctor B. Schrage, Mr M. Lindgren, Doctor N. Pagidipati, Doctor P. Pellicori...

Access

About the event

ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources