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An ensemble machine learning approach for predicting heart failure risk in acute coronary syndrome patients: heartguardai

30 August 2024 (08:25 - 08:35)
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Congress Presentation Part of: Risk stratification models after acute coronary syndrome Epidemiology, Prognosis, Outcome ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Gerardo Petretto

Sassari (Italy)

5 More presentations in this session

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Early risk stratification of patients with acute myocardial infarction complicated by severe cardiogenic shock - The ECLS-SHOCK Risk Score
Doctor T. Thevathasan (Berlin, DE)
Abstract Slides Video
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Baseline heart rate as a key prognostic indicator in AMI patients with cardiogenic shock undergoing successful primary PCI
Doctor T. Abe (Kawagoe, JP)
Abstract Slides Video
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Prognostic value of IL-22 levels and the TH17 pathway in patients with acute myocardial infarction
Mr Y. Wang (Zurich, CH)
Abstract Slides Video
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Differences in risk profiles and clinical outcomes according to age in patients with high-risk myocardial infarction: insights from the PARADISE-MI trial
Doctor K. Jering (Boston, US)
Abstract Slides Video
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Risk score guided dual antiplatelet therapy duration in patients with acute coronary syndrome: insights from the FORCE-ACS registry
Mr D. Chan Pin Yin (Nieuwegein, NL)
Abstract Slides Video

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Risk stratification models after acute coronary syndrome
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The Event

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ESC Congress 2024

30 August 2024 08:25 CET
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