Nonlinear model for the carotid artery disease 10-year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study

scientific article published on 09 January 2019

Nonlinear model for the carotid artery disease 10-year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1111/ECHO.14242
P698PubMed publication ID30623485

P50authorMatteo PigaQ37829183
Ankush D JamthikarQ88747582
Luca SabaQ89281937
Jasjit SuriQ90315678
P2093author name stringCarlo Carcassi
George D Kitas
Ajay Gupta
John R Laird
Sophie Mavrogeni
Andrew Nicolaides
Tadashi Araki
Harman S Suri
Deep Gupta
Narendra N Khanna
P433issue2
P921main subjectcarotid artery diseaseQ18555923
P304page(s)345-361
P577publication date2019-01-09
P1433published inEchocardiographyQ2222325
P1476titleNonlinear model for the carotid artery disease 10-year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study
P478volume36

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cites work (P2860)
Q99617634Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models
Q92014049Exercise as A Potential Therapeutic Target for Diabetic Cardiomyopathy: Insight into the Underlying Mechanisms
Q92401480Is intima-media thickness a predictor for cardiovascular risk? - Authors' reply

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