Geometric Mean Maximum FSVMI Model and Its Application in Carotid Artery Stenosis Risk Prediction-Reference-Cited by-同舟云学术

Geometric Mean Maximum FSVMI Model and Its Application in Carotid Artery Stenosis Risk Prediction

Published:2021-09 Issue:5 Volume:30 Page:824-832
ISSN:1022-4653
Container-title:Chinese Journal of Electronics
language:en
Short-container-title:Chin. j. electron.

Author:

Xueying ZHANG¹,Yuling GUO¹,Fenglian LI¹,Xin WEI¹,Fengyun HU²,Haisheng HUI¹,Wenhui JIA²

Affiliation:

1. College of Information and Computer, Taiyuan University of TechnologyJinzhong030024China

2. Department of NeurologyShanxi Province People's HospitalTaiyuan030012China

Publisher

Institution of Engineering and Technology (IET)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2021.06.004

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3. Validation of a basic neurosonology laboratory for detecting cervical carotid artery stenosis;ICCC De;Neurologia,2019

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5. Classification of carotid artery stenosis of patients with diabetes by neural network and logistic regression

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