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A machine learning-based risk prediction model for major adverse cardiovascular events within one year after discharge in patients with acute coronous syndrome

31 August 2026 (14:15 - 15:00)
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Congress Presentation Part of: Predicting major adverse cardiovascular events and long-term outcomes after acute coronary syndrome Epidemiology, Prognosis, Outcome ESC Professional Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Professor Tiantian Li

Chinese Center for Disease Control and Prevention, Beijing (China)

6 More presentations in this session

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Frailty is associated with adverse cardiovascular outcomes in type 2 myocardial infarction: a prospective registry study
Doctor S. Piya (Edinburgh, GB)
Abstract Slides Video
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Timing of heart failure after ST-segment elevation myocardial infarction and its association with long-term mortality
Mr U. Islam (Copenhagen, DK)
Abstract Slides Video
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Obstructive sleep apnea, insulin resistance and long-term cardiovascular outcomes in acute coronary syndrome
Doctor F. Zhang (Beijing, CN)
Abstract Slides Video
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Time-dependent survival benefit of late PCI in stable STEMI: a propensity-weighted analysis of the 12–48 hour window
Doctor M. Bergami (Bologna, IT)
Abstract Slides Video
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Temporal trends in primary ventricular fibrillation in the STEMI code era: a 15-year registry. Analysis of prevalence, acute-phase and long-term mortality
Doctor C. Garcia-Garcia (Barcelona, ES)
Abstract Slides Video

Access the full session

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Predicting major adverse cardiovascular events and long-term outcomes after acute coronary syndrome

The Event

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ESC Congress 2026

31 August 2026 14:15 CET
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