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Prediction of all-cause mortality in cardiovascular patients by using machine learning models

27 August 2022 (10:35 - 10:45)
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Congress Presentation Part of: Novel analysis technics in coronary artery disease Diagnostic Methods ESC Professional Premium Access ESC Congress 2022

About the speaker

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Assistant Professor Antonis Sakellarios

University Hospital of Patras, Rio-Patras (Greece)

5 More presentations in this session

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Predicting risk of future acute coronary syndromes, 1-year survival and the need for coronary angiography in unstable angina: A Nationwide Machine Learning Study
Doctor A. Myredal (Gothenburg, SE)
Abstract Slides Video
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Artificial intelligence-guided, single-lead EKG may be a game-changer for symptom-to-balloon time reduction in ST-elevated myocardial infarction
Doctor S. Mehta (Miami, US)
Abstract Slides Video
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Optical Coherence Tomography and Artificial Intelligence for calcium quantification in coronary disease of diabetic patients.
Doctor F. Di Muro (Salerno, IT)
Abstract Slides Video
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Deep learning to detect significant coronary artery disease from plain chest radiographs
Doctor G. d'ancona (Berlin, DE)
Abstract Slides Video
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Development and validation of non-invasive endothelial shear stress (ESS) estimations of coronary artery haemodynamics using computational modelling.
Doctor J. Chan (Adelaide, AU)
Abstract Slides Video

Access the full session

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Novel analysis technics in coronary artery disease

The Event

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ESC Congress 2022

27 August 2022 10:35 CET
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ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources