Back

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

30 August 2024 (08:00 - 17:30)
Organised by: Logo
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

Photo
Doctor Gerardo Petretto

Sassari (Italy)

5 More presentations in this session

Presentation thumbnail
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
Presentation thumbnail
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
Presentation thumbnail
Prognostic value of IL-22 levels and the TH17 pathway in patients with acute myocardial infarction
Mr Y. Wang (Zurich, CH)
Abstract Slides Video
Presentation thumbnail
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
Presentation thumbnail
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

Access the full session

Session thumbnail
Risk stratification models after acute coronary syndrome
Video

The Event

Event poster

ESC Congress 2024

30 August - 2 September 2024

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources