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Machine learning versus classic electrocardiographic criteria for left ventricular hypertrophy in a young pre-participation cohort: results from the SAFE protocol study

1 September 2019 (12:40 - 13:30)
Organised by:
Congress Presentation Part of: Artificial intelligence M-health Electrocardiogram (ECG) and Arrhythmia Analysis ESC Premium Access ESC Congress 2019

About the speaker

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Doctor Gerald Sng

Singapore General Hospital Pte Ltd, Singapore (Singapore)

5 More presentations in this session

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Deep and machine learning models to improve risk prediction of cardiovascular disease using data extraction from electronic health records.
Mr I. Korsakov (Saint Petersburg, RU)
Abstract Slides
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Population-wide disease trajectories in ischaemic heart disease
Doctor A. Haue (Copenhagen, DK)
Abstract Slides
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Artificial intelligence in echocardiography for standard clinical metrics
Mr W. Hewitt (Auckland, NZ)
Abstract Slides
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A European randomised controlled trial for m-health guided cardiac rehabilitation in the elderly; results of the EU-CaRE RCT study
Doctor E. de Kluiver (Zwolle, NL)
Abstract Slides
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Global telemedicine initiatives for combating ami
Doctor S. Mehta (Miami, US)
Abstract Slides

Access the full session

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Artificial intelligence M-health

The Event

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ESC Congress 2019

1 September 2019 12:40 CET
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