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A deep neural network predicts atrial fibrillation from normal ECGs recorded on a smartphone-enabled device

3 September 2019 (11:18 - 11:36)
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Congress Presentation Part of: Machine learning - State of the art Big Data ESC Premium Access ESC Congress 2019

About the speaker

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Mr Daniel Treiman

(United States of America)

4 More presentations in this session

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State of the Art - Machine learning: what it is and what it is not
Associate Professor N. Duchateau (Villeurbanne, FR)
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A pattern-discovery-based outcome predictive tool integrated with clinical data repository: design and a case study on contrast related acute kidney injury
Doctor Y. Li (Beijing, CN)
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Survival prediction in patients undergoing cardiac resynchronization therapy: a machine learning based risk stratification system
Doctor M. Tokodi (Budapest, HU)
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A vision of the future for machine learning in cardiology
Professor P. Sengupta (New Brunswick, US)
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Access the full session

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Machine learning - State of the art

The Event

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ESC Congress 2019

3 September 2019 11:18 CET
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