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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Dades bibliogràfiques
Publicat a:Cardiovasc Diagn Ther
Autors principals: 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.
Format: Artigo
Idioma:Inglês
Publicat: AME Publishing Company 2019
Matèries:
Original Article
Accés en línia: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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