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A machine learning approach predicts mortality in acute coronary syndrome (ACS) patients following percutaneous coronary intervention (PCI)

28 August 2026 (08:15 - 09:00)
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Congress Presentation Part of: Epidemiology, prognosis, and outcome in acute coronary syndromes: machine learning and percutaneous coronary Epidemiology, Prognosis, Outcome ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Professor Boris Schmitz

Clinic Koenigsfeld, Ennepetal (Germany)

7 More presentations in this session

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Bridging the regional gap: declining mortality trends in early onset acute coronary syndrome in low GDP region of China: findings from the Chinese Cardiovascular Association (CCA) database-chest pain
Doctor Y. Chen (Beijing, CN)
Abstract Slides Video
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Temporal trends in management and outcomes of acute coronary syndrome in an aging population: a 10-year multicenter registry
Doctor H. Mori (Yokohama, JP)
Abstract Slides Video
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Temporal changes in lipoprotein(a) after acute coronary syndrome
Doctor C. Lattouf (Baltimore, US)
Abstract Slides Video
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Hemoglobin levels and long-term mortality after acute coronary syndrome: a 26-year follow-up
Mr D. Merotto (IT)
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Sex affects care and prognosis in acute coronary syndrome
Doctor C. Sari (Budapest, HU)
Abstract Slides Video

Access the full session

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Epidemiology, prognosis, and outcome in acute coronary syndromes: machine learning and percutaneous coronary

The Event

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ESC Congress 2026

28 August 2026 08:15 CET
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