Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors

MOTIVATION: Machine learning (ML)-based stroke risk stratification systems have typically focused on conventional risk factors (CRF) (AtheroRisk-conventional). Besides CRF, carotid ultrasound image phenotypes (CUSIP) have shown to be powerful phenotypes risk stratification. This is the first ML stud...

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Detalhes bibliográficos
Publicado no:Indian Heart J
Main Authors: Jamthikar, Ankush, Gupta, Deep, Khanna, Narendra N., Saba, Luca, Laird, John R., Suri, Jasjit S.
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2020
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Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7474133/
https://ncbi.nlm.nih.gov/pubmed/32861380
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ihj.2020.06.004
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