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Machine learning applied to energy waveform ECG for prediction of subclinical myocardial dysfunction

31 August 2019 (00:00 - 00:00)
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Congress Presentation Part of: Poster Session 4 - Prevention - Risk assessment Imaging ESC Premium Access ESC Congress 2019

About the speaker

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Professor Thomas H Marwick

Baker Heart and Diabetes Institute, Melbourne (Australia)

13 More presentations in this session

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Machine learning for medical decision support in a first attendance ambulatory of a tertiary care cardiologic hospital
Doctor R. Hortegal (Sao Paulo, BR)
Abstract Slides
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Prognostic performance of echocardiography, electrocardiogram, albuminuria, plasma proBNP and hs-TnI in patients with type 2 diabetes
Mr N. Busch (Copenhagen, DK)
Abstract
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Algorythm for estimation of long-term prognosis for patients with AMI complicated with acute cardiorenal syndrome
Doctor A. Siverina (Saint Petersburg, RU)
Abstract Slides
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A novel prediction model for mortality after cardiac surgery using institutional case volume
Doctor S. Lee (Seoul, KR)
Abstract
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Classification of pronounced subclinical atherosclerosis: deep learning approach of carotid intima media ultrasound images is superior to clinical risk factors
Ms E. Nyman (Umea, SE)
Abstract

Access the full session

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Poster Session 4 - Prevention - Risk assessment

The Event

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ESC Congress 2019

31 August - 4 September 2019
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novartis Explore sponsored resources