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Survival prediction in patients undergoing cardiac resynchronization therapy: a machine learning based risk stratification system

3 September 2019 (11:54 - 12:12)
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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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Doctor Marton Tokodi

Semmelweis University, Budapest (Hungary)

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A deep neural network predicts atrial fibrillation from normal ECGs recorded on a smartphone-enabled device
Mr D. Treiman (US)
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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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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 11:54 CET
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