Using Machine Learning Techniques to Predict MACE in Very Young Acute Coronary Syndrome Patients

Using Machine Learning Techniques to Predict MACE in Very Young Acute Coronary Syndrome Patients

Coronary artery disease is a chronic disease with an increased expression in the elderly. However, different studies have shown an increased incidence in young subjects over the last decades. The prediction of major adverse cardiac events (MACE) in very young patients has a significant impact on med...

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Bibliographic Details
Main Authors: Pablo Juan-Salvadores, Cesar Veiga, Víctor Alfonso Jiménez Díaz, Alba Guitián González, Cristina Iglesia Carreño, Cristina Martínez Reglero, José Antonio Baz Alonso, Francisco Caamaño Isorna, Andrés Iñiguez Romo
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Diagnostics
Subjects:
machine learning
coronary artery disease
major adverse cardiovascular events
young patient
acute coronary syndrome
coronary angiography
Online Access:https://www.mdpi.com/2075-4418/12/2/422

Internet

https://www.mdpi.com/2075-4418/12/2/422

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