Back

Comparing machine learning approaches to identify myocardial scar from the ECG

28 August 2020 (08:00 - 18:00)
Organised by:
Congress Presentation Part of: Myocardial Disease ePosters Diagnostic Methods ESC Premium Access ESC Congress 2020

About the speaker

Photo
Mr Jagteshwar Tung

Stanford University Medical Center, Stanford (United States of America)

106 More presentations in this session

Presentation thumbnail
Comparative genetic, clinical features, and 5-years outcomes for dilated vs noncompaction cardiomyopathy
Doctor T. Vaikhanskaya (Minsk, BY)
Abstract Slides
Presentation thumbnail
Survival analysis in arrhythmogenic/dilated cardiomyopathy caused by pathogenic DSP truncating variants
Doctor A. Lamounier Junior (A Coruna, ES)
Abstract Slides
Presentation thumbnail
Clinical profiles and incident heart failure in cardiomyopathies: a population-based linked electronic health record cohort study
Doctor J. Brownrigg (Surrey, GB)
Abstract Slides
Presentation thumbnail
Clinical features, risk factors, and prognosis of anthracycline-induced cardiotoxicity in patients with malignant lymphoma who received a CHOP like regimen
Assistant Professor T. Nakayama (Nagoya, JP)
Abstract Slides
Presentation thumbnail
Two common echocardiographic variables to diagnose cardiac amyloidosis: the AMYLoidosis Index (AMYLI) score
Doctor G. Vergaro (Pisa, IT)
Abstract Slides

Access the full session

Session thumbnail
Myocardial Disease ePosters

The Event

Event poster

ESC Congress 2020

28 August 2020 08:00 CET