ESC 365 - Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning

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Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning

Session: Best of e-Cardiology

Topic: Big Data and Digital Twin

Speaker: Mr H. Bleijendaal (Amsterdam, NL)

Event: EHRA 2021

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About the speaker

Mr Hidde Bleijendaal

Amsterdam University Medical Centre, Amsterdam (Netherlands (The))

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3 more presentations in this session

The TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: Patient experiences.

Speaker: Associate Professor D. Linz (Maastricht, NL)

Explanation-visualised deep learning model for accessory pathway localisation using 12-lead electrocardiography

Speaker: Mr C. Chan (London, GB)

Head-to-head comparison of proprietary PPG and single-lead ECG algorithms for atrial fibrillation detection

Speaker: Doctor H. Gruwez (Genk, BE)

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Best of e-Cardiology

Speakers: Mr H. Bleijendaal, Associate Professor D. Linz, Mr C. Chan, Doctor H. Gruwez

About the event

EHRA 2021

23 April - 25 April 2021

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