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Balancing risk and benefit in patients with atrial fibrillation: the GARFIELD-AF risk score

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About the speaker

Professor Keith Fox

University of Edinburgh, Edinburgh (United Kingdom of Great Britain & Northern Ireland)
45 presentations
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6 more presentations in this session

Machine learning for phenotyping and risk prediction in cardiovascular diseases: a systematic review

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An evaluation of the use of propensity scores in cardiovascular literature: a systematic review and recommendations

Speaker: Ms J. Rouette (Montreal, CA)


External validation of the ACEF II operative risk model in a cardiac surgery population: an interim evaluation

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Clinical applications of machine learning for prediction of incident atrial fibrillation from the general population: a nationwide cohort study

Speaker: Doctor I. Kim (Seoul, KR)


Access the full session

New approaches to risk prediction

Speakers: Professor K. Fox, Associate Professor A. Banerjee, Mr J. Lee, Ms J. Rouette, Doctor M. Georgievska...

About the event


ESC Congress 2019

31 August - 4 September 2019

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ESC 365 is supported by

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