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

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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 (Co. Limerick, IE)

Event: ESC Congress 2024

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Doctor Ali Aldujeli

Bon Secours Hospital Limerick, Co. Limerick (Ireland)

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8 more presentations in this session

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

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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)

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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...

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ESC Congress 2024

30 August - 2 September 2024

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