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Machine-learning based risk prediction of in-hospital outcomes following STEMI: the STEMI-ML score

BackgroundTraditional prognostic models for ST-segment elevation myocardial infarction (STEMI) have limitations in statistical methods and usability.ObjectiveWe aimed to develop a machine-learning (ML) based risk score to predict in-hospital mortality, intensive care unit (ICU) admission, and left v...

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Principais autores: Hari P. Sritharan, Harrison Nguyen, Jonathan Ciofani, Ravinay Bhindi, Usaid K. Allahwala
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2024-10-01
Serier:Frontiers in Cardiovascular Medicine
Fag:
acute coronary syndrome
myocardial infarction
ST-elevation myocardial infarction
machine-learning
risk score
Online adgang:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1454321/full
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