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Improved sex-specific cardiovascular disease risk prediction using machine learning and explainable artificial intelligence

26 April 2024 (16:15 - 17:00)
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Congress Presentation Part of: How should we assess cardiovascular risk? Scores, prediction algorithms and analysis methods Scores Open Access ESC Preventive Cardiology 2024 European Association of Preventive Cardiology (EAPC)

About the speaker

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Miss Virginia De Martin T

Norwegian University of Science and Technology, Trondheim (Norway)

5 More presentations in this session

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Heterogeneous associations of traditional atherosclerotic risk factors and long-term complications in different arterial territories: the EPIC Norfolk prospective population cohort
Ms M. van den Bogaart (Amsterdam, NL)
Abstract Slides
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Optimization and validation of high, intermediate and low risk cut-off points in risk functions for primary cardiovascular prevention. The ORESTES project.
Ms N. Herrera Marin (Barcelona, ES)
Abstract Slides
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Real-world evaluation of performance and practical utility of multi-biomarker risk report for cardiovascular and other chronic diseases
Doctor S. Kerminen (Helsinki, FI)
Abstract Slides
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Is GRACE 2.0 a better predictor of post-MI mortality than GRACE in patients with known diabetes compared to those without?
Doctor B. Soman (Great Yarmouth, GB)
Abstract Slides
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Intima-media thickness measured at the common carotid artery, carotid bifurcation, and internal carotid artery in cardiovascular risk assessment
Doctor L. Seekircher (Innsbruck, AT)
Abstract Slides

Access the full session

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How should we assess cardiovascular risk? Scores, prediction algorithms and analysis methods

The Event

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ESC Preventive Cardiology 2024

26 April 2024 16:15 CET
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