ESC Premium Access

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

Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support

Congress Presentation

About the speaker

Associate Professor Nicolas Duchateau

Universite Lyon 1, Villeurbanne (France)
3 presentations
0 follower

4 more presentations in this session

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

Speaker: Mr D. Treiman (US)


A pattern-discovery-based outcome predictive tool integrated with clinical data repository: design and a case study on contrast related acute kidney injury

Speaker: Doctor Y. Li (Beijing, CN)


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

About the event


ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations

ESC 365 is supported by

logo Novo Nordisk
logo Bristol Myers Squibb