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Interpretable machine learning model for predicting long-term cardiovascular mortality risk in chronic kidney disease patients using SHAP explainers

31 August 2024 (14:30 - 14:42)
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Congress Presentation Part of: Renal failure: special aspects for the cardiologist Renal Failure and Cardiovascular Disease ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Miss Wanying Wu

Guangzhou (China)

4 More presentations in this session

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Correlation between postdialysis blood pressure assessed at different time points and home blood pressure monitoring
Professor W. Nadruz (Campinas, BR)
Abstract Slides Video
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Guideline-directed medical therapy and in-hospital mortality in acute coronary syndrome patients with advanced renal dysfunction
Mr Z. Jin (CN)
Abstract Slides Video
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Electronic nudges to increase influenza vaccination in patients with chronic kidney disease: a prespecified analysis of NUDGE-FLU-CHRONIC
Doctor K. Skaarup (Copenhagen, DK)
Abstract Slides Video
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Surgical reduction of a high-flow dialysis fistula has long-term positive effects of the heart
Doctor A. Valerianova (Prague, CZ)
Abstract Slides Video

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Renal failure: special aspects for the cardiologist
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The Event

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ESC Congress 2024

31 August 2024 14:30 CET
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ESC 365 is supported by

novartis Explore sponsored resources