Leveraging the potential of machine learning for assessing vascular ageing: state-of-the-art and future research

Vascular ageing biomarkers have been found to be predictive of cardiovascular risk independently of classical risk factors, yet are not widely used in clinical practice. In this review, we present two basic approaches for using machine learning (ML) to assess vascular age: parameter estimation and r...

Descripción completa

Detalles Bibliográficos
Autores principales: Bikia, Vasiliki, Fong, Terence, Climie, Rachel E, Bruno, Rosa-Maria, Hametner, Bernhard, Mayer, Christopher, Terentes-Printzios, Dimitrios, Charlton, Peter H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612526/
https://www.ncbi.nlm.nih.gov/pubmed/35316972
http://dx.doi.org/10.1093/ehjdh/ztab089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612526/
https://www.ncbi.nlm.nih.gov/pubmed/35316972
http://dx.doi.org/10.1093/ehjdh/ztab089

Ejemplares similares