Back

The Duke treadmill score in assessing the prognosis of patients tested with bicycle ergometer

26 August 2017 (00:00 - 00:00)
Organised by:
Congress Presentation Part of: From telomere length to machine learning - News in risk prediction Risk scores ESC Premium Access ESC Congress 2017

About the speaker

Photo
Mr Esko Salokari

University of Helsinki, Helsinki (Finland)

9 More presentations in this session

Presentation thumbnail
Radiation and non-radiation risk factors including polymorphism rs966221 of phosphodiesterase 4D gene and coronary heart disease development in clean-up workers of the Chernobyl accident
Doctor O. Bazyka (Kiev, UA)
Abstract Slides Video
Presentation thumbnail
Which elements of the complete blood count can predict the incidence of cardiovascular disease? the EPIC-NL cohort study
Doctor C. Lassale (Barcelona, ES)
Abstract Slides Video
Presentation thumbnail
Early coronary arteries atherosclerosis in young patients with seronegative spondyloarthropathies, coronary computed tomography angiography study.
Associate Professor R. Dabrowski (Warsaw, PL)
Abstract Slides Video
Presentation thumbnail
High-sensitivity troponin I predicts the risk of adverse outcomes in patients with chronic kidney disease
Doctor P. Sandesara (Atlanta, US)
Abstract Slides Video
Presentation thumbnail
Evaluation of coronary artery calcium score for statin treatment strategy according to ESC guidelines in asymptomatic asian adults
Doctor J. Lee (Goyang, KR)
Abstract Slides Video

Access the full session

Session thumbnail
From telomere length to machine learning - News in risk prediction

The Event

Event poster

ESC Congress 2017

26 August - 30 August 2017

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources