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.

Narendra N KhannaAnkush D JamthikarTadashi ArakiDeep GuptaMatteo PigaLuca SabaCarlo CarcassiAndrew NicolaidesJohn R LairdHarman S SuriAjay GuptaSophie MavrogeniGeorge D KitasJasjit S Suri

Published in: Echocardiography (Mount Kisco, N.Y.) (2019)

A nonlinear model was developed and validated by fusing nine conventional CV risk factors with current carotid image-based phenotypes for predicting the 10-year carotid ultrasound image-based phenotypes which may be used risk assessment.

Keyphrases

deep learning
risk assessment
risk factors
magnetic resonance imaging
type diabetes
human health
machine learning
computed tomography
metabolic syndrome