A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes

BACKGROUND: Most cardiovascular (CV)/stroke risk calculators using the integration of carotid ultrasound image-based phenotypes (CUSIP) with conventional risk factors (CRF) have shown improved risk stratification compared with either method. However such approaches have not yet leveraged the potenti...

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Detalhes bibliográficos
Publicado no:Cardiovasc Diagn Ther
Main Authors: Jamthikar, Ankush, Gupta, Deep, Khanna, Narendra N., Saba, Luca, Araki, Tadashi, Viskovic, Klaudija, Suri, Harman S., Gupta, Ajay, Mavrogeni, Sophie, Turk, Monika, Laird, John R., Pareek, Gyan, Miner, Martin, Sfikakis, Petros P., Protogerou, Athanasios, Kitas, George D., Viswanathan, Vijay, Nicolaides, Andrew, Bhatt, Deepak L., Suri, Jasjit S.
Formato: Artigo
Idioma:Inglês
Publicado em: AME Publishing Company 2019
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Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6837917/
https://ncbi.nlm.nih.gov/pubmed/31737514
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/cdt.2019.09.03
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