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Artificial intelligence methodology: multi-label classification of abnormal EKG records

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Presentation

About the speaker

Doctor Sameer Mehta

Lumen Foundation, Miami (United States of America)
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3 more presentations in this session

State-of-the-art lecture in Machine learning approaches to ECG interpretation.

Speaker: Professor B. Rodriguez (Oxford, GB)

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Distinguishing sinus rhythm from atrial fibrillation on single-lead ECGs using a deep neural network

Speaker: Miss M. Oudkerk Pool (Amsterdam, NL)

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Atrial fibrillation burden and risk of new development through artificial intelligence analysis of an electrocardiogram in hospitalized patients with heart failure and preserved ejection fraction

Speaker: Doctor F. Verbrugge (Brussels, BE)

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Access the full session

Machine Learning Approaches to ECG Interpretation: State of the Art

Speakers: Doctor S. Mehta, Professor B. Rodriguez, Miss M. Oudkerk Pool, Doctor F. Verbrugge
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About the event

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ESC Congress 2020

29 August - 1 September 2020

Sessions Presentations

ESC 365 is supported by

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