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Machine learning facilitates selecting a group of metabolites non-inferior to BNP for the diagnosis of chronic heart failure

26 August 2018 (08:57 - 09:06)
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Congress Presentation Part of: Exploring biomarkers in heart failure Diagnostic Methods, Other ESC Premium Access ESC Congress 2018

About the speaker

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Doctor Marta Marcinkiewicz-Siemion

Medical University of Bialystok, Bialystok (Poland)

9 More presentations in this session

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Prognostic impacts of soluble form of basigin in patients with chronic heart failure -from a prospective large clinical trial with 1,147 patients-
Associate Professor K. Satoh (Sendai, JP)
Abstract Slides Video
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Mid regional atrial natriuretic peptide is an independent predictor of peak pulmonary capillary wedge pressure in patients with heart failure with preserved ejection fraction
Doctor S. Nanayakkara (Melbourne, AU)
Abstract Slides Video
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Association of NGAL and AHEAD score for two-year prognosis in chronic heart failure patients (FAR NHL registry)
Doctor K. Labr (Brno, CZ)
Abstract Slides Video
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Optimizing patient selection in heart failure trials: the role of NT-proBNP
Doctor G. Savarese (Stockholm, SE)
Abstract Slides Video
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Diagnostic value of MRproANP in detecting non-acute heart failure in primary care
Doctor A. Gohar (Derby, GB)
Abstract Slides Video

Access the full session

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Exploring biomarkers in heart failure

The Event

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ESC Congress 2018

26 August 2018 08:57 CET

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novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources