Machine Learning Approaches to Predict Major Adverse Cardiovascular Events in Atrial Fibrillation

Machine Learning Approaches to Predict Major Adverse Cardiovascular Events in Atrial Fibrillation

The increasing prevalence of atrial fibrillation (AF) and its association with Major Adverse Cardiovascular Events (MACE) presents challenges in early identification and treatment. Although existing risk factors, biomarkers, genetic variants, and imaging parameters predict MACE, emerging factors may...

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Bibliographic Details
Main Authors: Pedro Moltó-Balado, Silvia Reverté-Villarroya, Victor Alonso-Barberán, Cinta Monclús-Arasa, Maria Teresa Balado-Albiol, Josep Clua-Queralt, Josep-Lluis Clua-Espuny
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Technologies
Subjects:
atrial fibrillation
major adverse cardiovascular events (MACE)
machine learning
artificial intelligence
Online Access:https://www.mdpi.com/2227-7080/12/2/13

Internet

https://www.mdpi.com/2227-7080/12/2/13

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