EHRA Premium Access

Polygenic risk score for Atrial Fibrillation as a predictor for the incidence of Sick Sinus Syndrome: A comprehensive analysis from the UK biobank.

Session: eCardiology
Topic: Big Data and Digital Twin

Congress Presentation

About the speaker

Doctor Hong-Ju Kim

Yeungnam University Hospital, Daegu (Korea (Republic of))
0 follower

6 more presentations in this session

Prediction of Atrial Fibrillation with Single-Lead Mobile ECG during Normal Sinus Rhythm using Deep Learning

Speaker: Associate Professor K. Lee (Gwangju, KR)

Thumbnail

Machine-learning guided differentiation between photoplethysmography waveforms of supraventricular and ventricular origin

Speaker: Professor D. Linz (Maastricht, NL)

Thumbnail

Association between amount of biventricular pacing and heart failure status measured by a multisensor implantable defibrillator algorithm.

Speaker: Doctor L. Santini (Rome, IT)

Thumbnail

Surgical treatment for obstructive sleep apnea prevents arrhythmic events: a nationwide population-based study

Speaker: Doctor L. Jung (Jeonju, KR)

Thumbnail

Development and validation of a machine learning-based prediction model for sudden cardiac death in the general population: insights from the community cardiovascular cohort

Speaker: Assistant Professor Y. Chen (Taichung, TW)

Thumbnail

Access the full session

eCardiology

Speakers: Doctor H. Kim, Associate Professor K. Lee, Professor D. Linz, Doctor L. Santini, Doctor L. Jung...
Thumbnail

About the event

Image

EHRA 2024

7 April - 9 April 2024

Sessions Presentations