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A novel approach for meta-analysis of feature importance measures from machine-learning models in multi-cohort studies

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: Data-driven insights: advancing cardiovascular care with big data Statistical methods ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Doctor Haykanush Ohanyan

Inserm, Paris (France)

6 More presentations in this session

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Sex-dependent cardiovascular variations in response to basic music features
Doctor P. Pal (London, GB)
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Quality of ethnicity coding and missed opportunities among cancer patients with acute coronary syndrome: a national multi-registry cohort study
Doctor M. Mohamed (London, GB)
Abstract Slides Video
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Comparison of red cell distribution width and red cell distribution to albumin ratio in predicting all-cause and cardiovascular mortality in a population 65 years or older
Professor K. Chen (Tianjin, CN)
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A 55-year nationwide analysis of rheumatic heart disease mortality from 1968 to 2023
Mr J. Chen (Melbourne, AU)
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Nationwide trends in acute myocardial infarction incidence in South Korea: a population-based analysis using National Health Insurance Big Data
Professor H. Kim (Seoul, KR)
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Data-driven insights: advancing cardiovascular care with big data

The Event

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ESC Congress 2025

29 August - 1 September 2025
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ESC 365 is supported by

novartis Explore sponsored resources