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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

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About the speaker

Mr Yikuan Li

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)
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The reporting of reproducibility of cardiac imaging biomarkers

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

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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

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

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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

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

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Research Methods: What’s New and What Works?

Speakers: Mr Y. Li, Doctor S. Sangha, Mr S. Rao, Mr A. Tijssen, Miss M. Samuel...
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ESC Congress 2020

29 August - 1 September 2020

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