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Neural networks approach to predict the early recurrence of non-valvular atrial fibrillation after sinus rhythm restoring: focus on CHA2DS2-VASc score and rs10465885 polymorphism in connexin-40 gene

26 August 2017 (00:00 - 00:00)
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Congress Presentation Part of: Poster session 5 - Risk prediction Atrial fibrillation (AF) ESC Premium Access ESC Congress 2017

About the speaker

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Doctor Tetiana Mikhalieva

NSC M.D. Strazhesko Institute of Cardiology NAMS of Ukraine, Kyiv (Ukraine)

22 More presentations in this session

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Pre- and postoperative atrial fibrillation in patients undergoing coronary artery surgery is associated with adverse outcome
Associate Professor G. Batra (Uppsala, SE)
Abstract Slides
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Competitive interaction between chronic obstructive pulmonary disease and CHA2DS2-VASc score in predicting incident atrial fibrillation
Professor A. Sciacqua (Catanzaro, IT)
Abstract
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Risk of stroke in subclinical atrial fibrillation: results from a meta-analysis
Doctor S. Mohanty (Austin, US)
Abstract
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Nonsustained atrial fibrillation in ambulatory ECG recording and thromboembolic events in long-term follow-up
Assistant Professor K. Karauzum (Kocaeli, TR)
Abstract Slides
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Predicting postoperative atrial fibrillation after cardiac surgery: validation and comparison of CHA2DS2-VASc, POAF and HATCH risk scoring systems
Ms L. Burgos (Buenos Aires, AR)
Abstract Slides

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Poster session 5 - Risk prediction

The Event

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ESC Congress 2017

26 August - 30 August 2017

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources