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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| 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 |