ESC Premium Access

Predicting outcome in patients with symptomatic coronary artery disease: A comparison of available risk assessment scores

Congress Presentation

About the speaker

Doctor Monika Zdanyte

University Hospital of Tuebingen, Tuebingen (Germany)
0 follower

13 more presentations in this session

Glasgow Prognostic Score predicts the readmission caused by acute decompensated heart failure after myocardial infarction.

Speaker: Doctor S. Namiuchi (Sendai, JP)

Thumbnail

Neural networks algorithms improve GRACE Score performance

Speaker: Doctor C. Higa (Buenos Aires, AR)

Thumbnail

Is multi-biomarker combination approach comparable to the GRACE risk score for short-term mortality prediction in acute myocardial infarction cases?

Speaker: Doctor Y. Kawamura (Hachioji, JP)

Thumbnail

Lifetime cost-effectiveness of diagnostic artificial intelligence tool for evaluating individuals with stable chest pain. The co-operative ARTICA registry database.

Speaker: Doctor E. Shirka (Tirana, AL)

Thumbnail

Derivation and validation of novel score system for predicting all-cause death and myocardial infarction in coronary artery ectasia

Speaker: Doctor Y. Wang (Beijing, CN)

Thumbnail

Access the full session

Poster Session 1 - Acute coronary syndromes: risk scores

Speakers: Doctor M. Zdanyte, Doctor S. Namiuchi, Doctor C. Higa, Doctor Y. Kawamura, Doctor E. Shirka...
Thumbnail

About the event

Image

ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations