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Prediction of heart failure readmission risk based on survival machine learning: a prospective cohort study integrating novel wearable cardiac acoustic multimodal parameters and clinical indicators

29 August 2026 (13:15 - 14:00)
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Congress Presentation Part of: Heart failure: integrating inflammation and machine learning Epidemiology, Prognosis, Outcome ESC Professional Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Chao Yu

Second Affiliated Hospital of Nanchang University, Nanchang (China)

4 More presentations in this session

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Left atrioventricular coupling and myocardial scar burden predict mortality after hospitalization for congestive heart failure, regardless of left ventricular ejection fraction.
Professor J. Hulot (Paris, FR)
Abstract Slides Video
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Systemic inflammation, statin therapy, and clinical outcomes in heart failure: a territory-wide population-based cohort study
Doctor A. Cai (Guangzhou, CN)
Abstract Slides Video
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Traditional cardiovascular risk factors and guideline-directed medical therapy profile in ACHD living with HFrEF. a national referral centre study.
Doctor A. Jordan (Mexico City, MX)
Abstract Slides Video
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Clinical signs of congestion in heart failure across the range of ejection fraction: insights from contemporary randomised trials
Doctor A. Olesen (Copenhagen, DK)
Abstract Slides Video

Access the full session

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Heart failure: integrating inflammation and machine learning

The Event

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ESC Congress 2026

29 August 2026 13:15 CET
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