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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Bibliografske podrobnosti

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