Back
ESC Premium Access

An interpretable model for incident heart failure prediction with uncertainty estimation

Session: Research Methods: What’s New and What Works?
Topic: Big Data Analysis
Speaker: Mr Y. Li (Oxford, GB)
Event: ESC Congress 2020

Congress Presentation

About the speaker

Mr Yikuan Li

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)
0 follower

5 more presentations in this session

The reporting of reproducibility of cardiac imaging biomarkers

Speaker: Doctor S. Sangha (Liverpool, AU)

Access
Abstract
Slides
Thumbnail

BEHRT-HF: an interpretable transformer-based, deep learning model for prediction of incident heart failure

Speaker: Mr S. Rao (Oxford, GB)

Access
Abstract
Slides
Thumbnail

Extended follow-up data: impact of selective loss to follow-up in a trial of secondary prevention of coronary artery disease

Speaker: Mr A. Tijssen (Amsterdam, NL)

Access
Abstract
Slides
Thumbnail

Effect of immortal time bias on the association between atrial fibrillation ablation and incident stroke: A meta-analysis

Speaker: Miss M. Samuel (Montreal, CA)

Access
Abstract
Slides
Thumbnail

Is basic science falling behind? a mixed methods study of bibliometric data and expert interviews in the field of cardiovascular research

Speaker: Associate Professor M. Lichtenauer (Salzburg, AT)

Access
Abstract
Slides
Thumbnail

Access the full session

Research Methods: What’s New and What Works?

Speakers: Mr Y. Li, Doctor S. Sangha, Mr S. Rao, Mr A. Tijssen, Miss M. Samuel...
Access
Thumbnail

About the event

Image

ESC Congress 2020

29 August - 1 September 2020

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

logo Novo Nordisk
logo Bristol Myers Squibb