Back

Analysis of risk factors and construction of risk prediction model for type 4b acute myocardial infarction caused by very late stent thrombosis based on machine learning

1 September 2025 (12:15 - 13:00)
Organised by: Logo
Congress Presentation Part of: Risk factor in acute coronary syndromes Thrombosis, Platelets, and Coagulation ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Professor Jing Gao

Tianjin Chest Hospital, Tianjin (China)

6 More presentations in this session

Presentation thumbnail
Causal relationship between diagnosis of myocardial infarction and smoking cessation- from the China Health and Nutrition Survey
Doctor D. Xu (Ningbo, CN)
Abstract Slides Video
Presentation thumbnail
Association of quality of care and long-term mortality risk for individuals presenting with ST-segment myocardial infarction (STEMI) by diabetes mellitus status: a nationwide cohort study
Doctor A. Cole (Stoke on Trent, GB)
Abstract Slides Video
Presentation thumbnail
Standards of care in relation to age and sex in patients with ST-elevation myocardial infarction in 2023. European unified registries on heart care evaluation and randomized trials (Euroheart)
Doctor A. Bhatty (Leeds, GB)
Abstract Slides Video
Presentation thumbnail
Unveiling the optimal LDL-C window: prognostic stratification in frail patients with acute myocardial infarction
Professor C. Liu (Tianjin, CN)
Abstract Slides Video
Presentation thumbnail
Chest pain patients with intermediate risk HEART score are safe for an expedited outpatient cardiology evaluation - a multicenter study.
Ms D. Lebron Gallagher (Las Vegas, US)
Abstract Slides Video

Access the full session

Session thumbnail
Risk factor in acute coronary syndromes

The Event

Event poster

ESC Congress 2025

1 September 2025 12:15 CET
You may be interested in
thumbnail
Congress Presentation
Development of a multidimensional data-driven prediction model and risk stratification for 1-year cardiac mortality in AMI patients
thumbnail
Congress Presentation
Multidimensional Data-Driven prediction and stratification of cardiac mortality in AMI patients
thumbnail
Congress Presentation
Development and validation of a long-term clinical prediction model for MACE associated with non-culprit lesions after percutaneous coronary intervention in patients with AMI

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources