Detection of Asymptomatic Carotid Artery Stenosis through Machine Learning-Reference-Cited by-同舟云学术

Detection of Asymptomatic Carotid Artery Stenosis through Machine Learning

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Kigka Vassiliki I.¹,Sakellarios Antonis I.¹,Tsakanikas Vassilis D.¹,Potsika Vassiliki T.¹,Koncar Igor²,Fotiadis Dimitrios I.³

Affiliation:

1. University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Department of Materials Science and Engineering,Ioannina,Greece

2. Clinic Center of Serbia,Department of Vascular and Endovascular Surgery,Belgrade,Serbia,11000

3. University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Department of Materials Science and Engineering,Ioannina,Greece,45110

Funder

European Union

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09870927.pdf?arnumber=9870927

Reference11 articles.

1. The Current Role of Carotid Duplex Ultrasonography in the Management of Carotid Atherosclerosis: Foundations and Advances

2. Carotid artery stenosis: An approach to its diagnosis and management

3. Medical data quality assessment: On the development of an automated framework for medical data curation

4. Detection of Asymptomatic Carotid Artery Stenosis in High-Risk Individuals of Stroke Using a Machine-Learning Algorithm;yin;Chinese Medical Sciences Journal,2020

5. Machine Learning, a Probabilistic Perspective

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