ESC Professional Premium Access

Identifying clinical phenotype clusters for coronary artery disease: a novel approach using clustering by unsupervised machine learning

Congress Presentation

About the speaker

Mr Joris Holtrop

University Medical Center Utrecht, Utrecht (Netherlands (The))
0 follower

5 more presentations in this session

Interplay between family History and polygenic risk for coronary heart disease: a cohort study among over 60 thousand individuals

Speaker: Doctor C. Iribarren (Oakland, US)

Thumbnail

Association of Life's Essential 8 metrics with mortality outcomes in US cancer survivors

Speaker: Doctor W. Chen (Beijing, CN)

Thumbnail

Non-lipid metabolomic biomarkers are associated with adverse cardiac remodelling and cardiovascular outcomes

Speaker: Doctor M. Sanghvi (London, GB)

Thumbnail

AI-enhanced detection of coronary inflammation predicts 10-year risk for cardiac mortality and MACE in individuals with no or minimal coronary atherosclerosis on routine CCTA

Speaker: Doctor K. Chan (Oxford, GB)

Thumbnail

Remnant cholesterol and mortality in 37.559 patients from LIPIDOGRAM 2004, 2006 and 2015 studies.

Speaker: Professor M. Banach (Lodz, PL)

Thumbnail

Access the full session

Non-classical risk factors for heart disease revisited

Speakers: Mr J. Holtrop, Doctor C. Iribarren, Doctor W. Chen, Doctor M. Sanghvi, Doctor K. Chan...
Thumbnail

About the event

Image

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations