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Machine learning to predict in-hospital outcomes in patients with acute heart failure.

26 August 2023 (10:15 - 11:00)
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Congress Presentation Part of: Diagnostics in acute heart failure Epidemiology, Prognosis, Outcome ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

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Doctor Benjamin Sibilia

Hospital Lariboisiere, Paris (France)

7 More presentations in this session

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Reduced systolic flow efficacy in left ventricular dyssynchrony evident by blood speckle imaging.
Doctor M. Witso (Oslo, NO)
Abstract Slides Video
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Safety, usability, and performance of a wireless left atrial pressure monitoring system in patients with heart failure: the VECTOR-HF trial (final results)
Doctor D. D'Amario (Novara, IT)
Abstract Slides
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Association of inflammation with shock severity, 30-day mortality and therapy response in patients with cardiogenic shock
Doctor A. Dettling (Hamburg, DE)
Abstract Slides Video
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SCAI classification, the importance of its dynamic reclassification in the first 24 hours and the impact of risk modifiers in cardiogenic shock admissions
Doctor D. Gomes (Lisbon, PT)
Abstract Slides Video
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Clinical effect of renal dysfunction on diagnostic and prognostic accuracy of B-type Natriuretic Peptide and N-terminal Pro-B-type Natriuretic Peptide for acute heart failure
Doctor D. Wussler (Basel, CH)
Abstract Slides Video

Access the full session

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Diagnostics in acute heart failure

The Event

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ESC Congress 2023

26 August 2023 10:15 CET
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novartis Explore sponsored resources