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Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients

29 June 2021 (08:00 - 23:59)
Organised by:
Congress Presentation Part of: ePoster session Big Data Analysis HFA Premium Access Heart Failure 2021

About the speaker

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Mr Maor Lewis

Tel Aviv University, Tel Aviv (Israel)

738 More presentations in this session

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Atrial lead insertion during cardiac implantable electronic devices implantation in patients with atrial arrhythmia on hospital admission, when does the struggle for sinus rhythm make sense?
Assistant Professor N. Radovanovic (Belgrade, RS)
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Features of the remodeling of atria and pulmonary veins in CHF patients with paroxysmal AF and permanent AF
Assistant Professor V. Kirillova (Ekaterinburg, RU)
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Rhythm control versus rate control in patients with atrial fibrillation and heart failure across the left ventricular ejection fraction spectrum
Doctor D. Moysidis (Zurich, CH)
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Impact of cardiac contractility modulation on ventricular rhythm and conduction disorders in patients with heart failure with reduced ejection fraction and various forms of atrial fibrillation
Doctor A. Safiullina (Moscow, RU)
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Was a difference between late and early new-onset of atrial fibrillation in non st-elevation myocardial infarction?
Doctor H. Santos (Lisboa, PT)
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Access the full session

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ePoster session

The Event

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Heart Failure 2021

29 June 2021 08:00 CET

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources