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

Topic: Epidemiology, Prognosis, Outcome

Congress Presentation

About the speaker

Doctor Benjamin Sibilia

Hospital Lariboisiere, Paris (France)
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7 more presentations in this session

Reduced systolic flow efficacy in left ventricular dyssynchrony evident by blood speckle imaging.

Speaker: Doctor M. Witso (Oslo, NO)


Safety, usability, and performance of a wireless left atrial pressure monitoring system in patients with heart failure: the VECTOR-HF trial (final results)

Speaker: Doctor D. D'Amario (Novara, IT)


Association of inflammation with shock severity, 30-day mortality and therapy response in patients with cardiogenic shock

Speaker: Doctor A. Dettling (Hamburg, DE)


SCAI classification, the importance of its dynamic reclassification in the first 24 hours and the impact of risk modifiers in cardiogenic shock admissions

Speaker: Doctor D. Gomes (Lisbon, PT)


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

Speaker: Doctor D. Wussler (Basel, CH)


Access the full session

Diagnostics in acute heart failure

Speakers: Doctor B. Sibilia, Doctor M. Witso, Doctor D. D'Amario, Doctor A. Dettling, Doctor D. Gomes...

About the event


ESC Congress 2023

25 August - 28 August 2023

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