Development and Validation of a Personalized, Sex-Specific Prediction Algorithm of Severe Atheromatosis in Middle-Aged Asymptomatic Individuals: The ILERVAS Study

Development and Validation of a Personalized, Sex-Specific Prediction Algorithm of Severe Atheromatosis in Middle-Aged Asymptomatic Individuals: The ILERVAS Study

BackgroundAlthough European guidelines recommend vascular ultrasound for the assessment of cardiovascular risk in low-to-moderate risk individuals, no algorithm properly identifies patients who could benefit from it. The aim of this study is to develop a sex-specific algorithm to identify those pati...

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Bibliographic Details
Main Authors: Marcelino Bermúdez-López, Manuel Martí-Antonio, Eva Castro-Boqué, María del Mar Bretones, Cristina Farràs, Gerard Torres, Reinald Pamplona, Albert Lecube, Dídac Mauricio, José Manuel Valdivielso, Elvira Fernández
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
cardiovascular disease
atherosclerosis
cardiovascular risk assessment
machine learning
recursive partitioning classification trees
vascular ultrasound
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.895917/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.895917/full

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