QTc interval prolongation impact on in-hospital mortality in acute coronary syndromes patients using artificial intelligence and machine learning

QTc interval prolongation impact on in-hospital mortality in acute coronary syndromes patients using artificial intelligence and machine learning

Abstract Background Prediction of mortality in hospitalized patients is a crucial and important problem. Several severity scoring systems over the past few decades and machine learning models for mortality prediction have been developed to predict in-hospital mortality. Our aim in this study was to...

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Bibliographic Details
Main Authors: Ahmed Mahmoud El Amrawy, Samar Fakhr El Deen Abd El Salam, Sherif Wagdy Ayad, Mohamed Ahmed Sobhy, Aya Mohamed Awad
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:The Egyptian Heart Journal
Subjects:
Acute coronary syndrome
Artificial intelligence
Machine learning
Data mining
In-hospital mortality
Online Access:https://doi.org/10.1186/s43044-024-00581-4
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