ESC 365 - Integrative machine learning model for predicting patient-oriented composite endpoints in acute myocardial infarction: a neuroendocrine biomarker approach

ESC Premium Access

Integrative machine learning model for predicting patient-oriented composite endpoints in acute myocardial infarction: a neuroendocrine biomarker approach

Session: Advancing cardiac care in acute coronary syndromes: from genetics to social determinants

Topic: Epidemiology, Prognosis, Outcome

Speaker: Doctor A. Aldujeli (Kaunas, LT)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Ali Aldujeli

Lithuanian University of Health Sciences, Kaunas (Lithuania)

0 follower

8 more presentations in this session

Symptoms and ASCVD score fail to identify majority of the patients at risk of first myocardial infarction

Speaker: Doctor A. Mueller (New York, US)

Corrected timi frame count : time to replace the TIMI flow?

Speaker: Mr S. Rifqi (Semarang, ID)

Expression of cardiomyopathy-related genes in mononuclear blood cells predicts all-cause mortality in patients presenting with acute versus chronic coronary syndrome requiring revascularisation

Speaker: Doctor A. Teren (Bielefeld, DE)

Undiagnosed Diabetes Mellitus is an important risk factor in secondary prevention after an acute coronary syndrome and warrants active screening

Speaker: Ms E. Woelders (Nijmegen, NL)

Influence of social factors on prompt reperfusion in patients with ST-segment elevation myocardial infarction: results from the KRAMI multicenter registry

Speaker: Doctor Z. Song (Busan, KR)

Access the full session

Advancing cardiac care in acute coronary syndromes: from genetics to social determinants

Speakers: Doctor A. Aldujeli, Doctor A. Mueller, Mr S. Rifqi, Doctor A. Teren, Ms E. Woelders...

About the event

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources