ESC Premium Access

An evaluation of the use of propensity scores in cardiovascular literature: a systematic review and recommendations

Topic: Cardiovascular Epidemiology

Congress Presentation

About the speaker

Ms Julie Rouette

Mcgill University, Montreal (Canada)
0 follower

6 more presentations in this session

Machine learning for phenotyping and risk prediction in cardiovascular diseases: a systematic review

Speaker: Associate Professor A. Banerjee (London, GB)

Thumbnail

Finding predictors and causes of cardiac surgery ICU readmission using machine learning and causal inference

Speaker: Mr J. Lee (Baltimore, US)

Thumbnail

Balancing risk and benefit in patients with atrial fibrillation: the GARFIELD-AF risk score

Speaker: Professor K. Fox (Edinburgh, GB)

Thumbnail

External validation of the ACEF II operative risk model in a cardiac surgery population: an interim evaluation

Speaker: Doctor M. Georgievska (Skopje, MK)

Thumbnail

Clinical applications of machine learning for prediction of incident atrial fibrillation from the general population: a nationwide cohort study

Speaker: Doctor I. Kim (Seoul, KR)

Thumbnail

Access the full session

New approaches to risk prediction

Speakers: Ms J. Rouette, Associate Professor A. Banerjee, Mr J. Lee, Professor K. Fox, Doctor M. Georgievska...
Thumbnail

About the event

Image

ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations