ESC 365 - Interpretable machine learning model for predicting long-term cardiovascular mortality risk in chronic kidney disease patients using SHAP explainers

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

Session: Renal failure: special aspects for the cardiologist

Topic: Renal Failure and Cardiovascular Disease

Speaker: Miss W. Wu (Guangzhou, CN)

Event: ESC Congress 2024

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About the speaker

Miss Wanying Wu

Guangzhou (China)

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4 more presentations in this session

Correlation between postdialysis blood pressure assessed at different time points and home blood pressure monitoring

Speaker: Professor W. Nadruz (Campinas, BR)

Guideline-directed medical therapy and in-hospital mortality in acute coronary syndrome patients with advanced renal dysfunction

Speaker: Mr Z. Jin (CN)

Electronic nudges to increase influenza vaccination in patients with chronic kidney disease: a prespecified analysis of NUDGE-FLU-CHRONIC

Speaker: Doctor K. Skaarup (Copenhagen, DK)

Surgical reduction of a high-flow dialysis fistula has long-term positive effects of the heart

Speaker: Doctor A. Valerianova (Prague, CZ)

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Renal failure: special aspects for the cardiologist

Speakers: Miss W. Wu, Professor W. Nadruz, Mr Z. Jin, Doctor K. Skaarup, Doctor A. Valerianova

About the event

ESC Congress 2024

30 August - 2 September 2024

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