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

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

Session: Exploring biomarkers in heart failure

Topic: Diagnostic Methods, Other

Speaker: Doctor M. Marcinkiewicz-Siemion (Bialystok, PL)

Event: ESC Congress 2018

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About the speaker

Doctor Marta Marcinkiewicz-Siemion

Medical University of Bialystok, Bialystok (Poland)

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9 more presentations in this session

Prognostic impacts of soluble form of basigin in patients with chronic heart failure -from a prospective large clinical trial with 1,147 patients-

Speaker: Associate Professor K. Satoh (Sendai, JP)

Mid regional atrial natriuretic peptide is an independent predictor of peak pulmonary capillary wedge pressure in patients with heart failure with preserved ejection fraction

Speaker: Doctor S. Nanayakkara (Melbourne, AU)

Association of NGAL and AHEAD score for two-year prognosis in chronic heart failure patients (FAR NHL registry)

Speaker: Doctor K. Labr (Brno, CZ)

Optimizing patient selection in heart failure trials: the role of NT-proBNP

Speaker: Doctor G. Savarese (Stockholm, SE)

Diagnostic value of MRproANP in detecting non-acute heart failure in primary care

Speaker: Doctor A. Gohar (Derby, GB)

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Exploring biomarkers in heart failure

Speakers: Doctor M. Marcinkiewicz-Siemion, Associate Professor K. Satoh, Doctor S. Nanayakkara, Doctor K. Labr, Doctor G. Savarese...

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ESC Congress 2018

25 August - 29 August 2018

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