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

N. N. Khanna, Ankush D. Jamthikar, T. Araki, Deep Gupta, M. Piga, L. Saba, C. Carcassi, A. Nicolaides, J. Laird, Harman S. Suri, Ajay Gupta, S. Mavrogeni, G. Kitas, J. Suri

Echocardiography, 2019

This study presents a novel nonlinear model which can predict 10‐year carotid ultrasound image‐based phenotypes by fusing nine traditional cardiovascular risk factors (ethnicity, gender, age, artery type, body mass index, hemoglobin A1c, hypertension, low‐density lipoprotein, and smoking) with five types of carotid automated image phenotypes (three types of carotid intima‐media thickness (IMT), wall variability, and total plaque area).

Cited by 5 publications.

Field of study: Medicine

10.1111/echo.14242