Prediction of cardiovascular risk by measuring carotid intima media thickness from an ultrasound image for type II diabetic mellitus subjects using machine learning and transfer learning techniques-Reference-Cited by-同舟云学术

Prediction of cardiovascular risk by measuring carotid intima media thickness from an ultrasound image for type II diabetic mellitus subjects using machine learning and transfer learning techniques

Published:2021-03-02 Issue:9 Volume:77 Page:10289-10306
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Lakshmi Prabha P.^ORCID,Jayanthy A. K.,Prem Kumar C.,Ramraj Balaji

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-021-03676-w.pdf

Reference40 articles.

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2. Lorenz MW, Schaefer C, Steinmetz H, Sitzer M (2010) Is carotid intima-media thickness useful for individual prediction of cardiovascular risk? Ten-year results from the carotid atherosclerosis progression study (CAPS). Eur Heart J 31(16):2041–2048

3. Nambi V, Chambless L, He M, Folsom AR, Mosley T, Boerwinkle E, Ballantyne CM (2012) Common carotid artery intima–media thickness is as good as carotid intima–media thickness of all carotid artery segments in improving prediction of coronary heart disease risk in the Atherosclerosis Risk in Communities (ARIC) study. Eur Heart J 33(2):183–190

4. Darabian S, Hormuz M, Latif MA, Pahlevan S, Budoff MJ (2013) The role of carotid intimal thickness testing and risk prediction in the development of coronary atherosclerosis. Curr Atheroscler Rep 15(3):306

5. Øygarden H (2017) Carotid intima-media thickness and prediction of cardiovascular disease. J Am Heart Assoc. https://doi.org/10.1161/JAHA.116.005313

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