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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

Topic: Hospital Information Systems

Congress Presentation

About the speaker

Doctor Yuxi Li

Peking University First Hospital, Beijing (China)
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4 more presentations in this session

State of the Art - Machine learning: what it is and what it is not

Speaker: Associate Professor N. Duchateau (Villeurbanne, FR)


A deep neural network predicts atrial fibrillation from normal ECGs recorded on a smartphone-enabled device

Speaker: Mr D. Treiman (US)


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

Speaker: Doctor M. Tokodi (Budapest, HU)


A vision of the future for machine learning in cardiology

Speaker: Professor P. Sengupta (New Brunswick, US)


Access the full session

Machine learning - State of the art

Speakers: Doctor Y. Li, Associate Professor N. Duchateau, Mr D. Treiman, Doctor M. Tokodi, Professor P. Sengupta

About the event


ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations

ESC 365 is supported by

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