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Neural networks algorithms improve GRACE Score performance

31 August 2019 (00:00 - 00:00)
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Congress Presentation Part of: Poster Session 1 - Acute coronary syndromes: risk scores Epidemiology, Prognosis, Outcome ESC Premium Access ESC Congress 2019

About the speaker

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Doctor Claudio Higa

Hospital Aleman, Buenos Aires (Argentina)

13 More presentations in this session

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Glasgow Prognostic Score predicts the readmission caused by acute decompensated heart failure after myocardial infarction.
Doctor S. Namiuchi (Sendai, JP)
Abstract Slides
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Is multi-biomarker combination approach comparable to the GRACE risk score for short-term mortality prediction in acute myocardial infarction cases?
Doctor Y. Kawamura (Hachioji, JP)
Abstract Slides
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Lifetime cost-effectiveness of diagnostic artificial intelligence tool for evaluating individuals with stable chest pain. The co-operative ARTICA registry database.
Doctor E. Shirka (Tirana, AL)
Abstract Slides
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Predicting outcome in patients with symptomatic coronary artery disease: A comparison of available risk assessment scores
Doctor M. Zdanyte (Tuebingen, DE)
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Derivation and validation of novel score system for predicting all-cause death and myocardial infarction in coronary artery ectasia
Doctor Y. Wang (Beijing, CN)
Abstract

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Poster Session 1 - Acute coronary syndromes: risk scores

The Event

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ESC Congress 2019

31 August - 4 September 2019

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources