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An interpretable model for incident heart failure prediction with uncertainty estimation

1 September 2020 (08:30 - 08:30)
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Congress Presentation Part of: Research Methods: What’s New and What Works? Big Data Analysis ESC Premium Access ESC Congress 2020

About the speaker

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Mr Yikuan Li

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

5 More presentations in this session

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The reporting of reproducibility of cardiac imaging biomarkers
Doctor S. Sangha (Wollongong, AU)
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BEHRT-HF: an interpretable transformer-based, deep learning model for prediction of incident heart failure
Mr S. Rao (Oxford, GB)
Abstract Slides
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Extended follow-up data: impact of selective loss to follow-up in a trial of secondary prevention of coronary artery disease
Mr A. Tijssen (Amsterdam, NL)
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Effect of immortal time bias on the association between atrial fibrillation ablation and incident stroke: A meta-analysis
Miss M. Samuel (Pittsburgh, US)
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Is basic science falling behind? a mixed methods study of bibliometric data and expert interviews in the field of cardiovascular research
Associate Professor M. Lichtenauer (Salzburg, AT)
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Research Methods: What’s New and What Works?

The Event

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ESC Congress 2020

1 September 2020 08:30 CET

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources