ESC 365 - Machine learning: can we predict and prevent sudden cardiac death in heart failure?

Open Access

Machine learning: can we predict and prevent sudden cardiac death in heart failure?

Session: Sudden cardiac death: can we move from prediction to prevention?

Topic: e-Cardiology/Digital Health

Speaker: Professor K. Nakajima (Kanazawa, JP)

Event: ESC Congress 2021 - The Digital Experience

Congress Session

About the speaker

Professor Kenichi Nakajima

Kanazawa University Hospital, Kanazawa (Japan)

2 presentations

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4 more presentations in this session

Prediction of death by photoplethysmography

Speaker: Professor G. Schmidt (Munich, DE)

Machine learning: what does it bring to the prediction of sudden cardiac death?

Speaker: Doctor S. Narayan (Palo Alto, US)

Sudden cardiac death: can we move from prediction to prevention? – discussion.

Sudden cardiac death: can we move from prediction to prevention? - Chat Moderator.

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Sudden cardiac death: can we move from prediction to prevention?

Speakers: Professor K. Nakajima, Professor G. Schmidt, Doctor S. Narayan

About the event

ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

Sessions Presentations

Congress

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