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Identification of machine learning-derived survival clusters in patients hospitalized for acute decompensated heart failure, in the overall population and stratified by sex

17 May 2025 (08:00 - 12:45)
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Congress Presentation Part of: Acute heart failure epidemiology Epidemiology, Prognosis, Outcome HFA Premium Access Heart Failure 2025 Heart Failure Association (HFA)

About the speaker

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Doctor Stefano Contessi

Hospital Santa Maria della Misericordia, Udine (Italy)

5 More presentations in this session

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Takotsubo syndrome in the 21st century: a portuguese picture from a tertiary center
Doctor M. Presume (Lisbon, PT) Doctor R. Carvalho (Lisbon, PT)
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Advancements and challenges in acute heart failure management in Korea: initial report and insights from the Korean heart failure III registry
Professor H. Cho (Seoul, KR)
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Differences in clinical presentation and outcomes between de novo heart failure and acute decompensated chronic heart failure: a retrospective observational study.
Doctor C. Cardile (Rome, IT)
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Identifying cardiogenic shock sub-phenotypes with machine learning: a multicenter study combining clinical and echocardiographic data
Doctor A. Stefanini (Siena, IT)
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Epidemiology, evolution and in-hospital outcome of STEMI patients presenting with acute heart failure
Doctor R. Filipescu (Bucharest, RO)
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Access the full session

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Acute heart failure epidemiology

The Event

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Heart Failure 2025

17 May - 20 May 2025
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