ESC 365 - Validation of a machine learned model to predict the diagnosis of myocardial infarction

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Validation of a machine learned model to predict the diagnosis of myocardial infarction

Session: Young Investigator Award Session Clinical Cardiology 1

Topic: Biomarkers

Speaker: Doctor D. Doudesis (Edinburgh, GB)

Event: ESC Congress 2020

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Doctor Dimitrios Doudesis

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

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3 more presentations in this session

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Prognostic Impact of Active Mechanical Circulatory Support in Cardiogenic Shock Complicating Acute Myocardial Infarction: Results from the CULPRIT-SHOCK Trial

Speaker: Doctor H. Feistritzer (Leipzig, DE)

A matter of proportions: a novel framework to classify functional tricuspid regurgitation

Speaker: Doctor F. Fortuni (Perugia, IT)

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Young Investigator Award Session Clinical Cardiology 1

Speakers: Doctor D. Doudesis, Doctor D. Margonato, Doctor H. Feistritzer, Doctor F. Fortuni

About the event

ESC Congress 2020

29 August - 1 September 2020

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