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

Autor: Hari P. Sritharan, Harrison Nguyen, Jonathan Ciofani, Ravinay Bhindi, Usaid K. Allahwala
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Cardiovascular Medicine, Vol 11 (2024)
Druh dokumentu: article
ISSN: 2297-055X
DOI: 10.3389/fcvm.2024.1454321
Popis: 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 ventricular ejection fraction less than 40% (LVEF
Databáze: Directory of Open Access Journals