A Machine Learning Model for the prediction of the progression of carotid arterial stenoses-Reference-Cited by-同舟云学术

A Machine Learning Model for the prediction of the progression of carotid arterial stenoses

Published:2023-07-24 Issue: Volume: Page:
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Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Siogkas Panagiotis K.¹,Pleouras Dimitrios S.¹,Tsakanikas Vasilis D.¹,Potsika Vassiliki T.¹,Tsiouris Kostas M.¹,Sakellarios Antonis¹,Karamouzi Evdokia¹,Lagiou Foteini¹,Charalampopoulos George²,Galyfos George²,Sigala Fragiska²,Koncar Igor³,Fotiadis Dimitrios I.⁴

Affiliation:

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

2. National and Kapodistrian University of Athens, Hippocration Hospital,First Propaedeutic Dept. of Surgery,Athens,Greece

3. University of Belgrade,Faculty of Medicine,Department of Vascular and Endovascular Surgery,Belgrade,Serbia

4. University of Ioannina, and With the Biomedical Research Institute Forth, University Campus of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science and Engineering,Ioannina,Greece,45110

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340383.pdf?arnumber=10340383

Reference13 articles.

1. Burden of Stroke in Europe

2. Editor's Choice – European Society for Vascular Surgery (ESVS) 2023 Clinical Practice Guidelines on the Management of Atherosclerotic Carotid and Vertebral Artery Disease

3. Simulation of atherosclerotic plaque growth using computational biomechanics and patient-specific data

4. Natural History of Carotid Atherosclerosis in Relation to the Hemodynamic Environment

5. Mathematical Modelling and Simulation of Atherosclerosis Formation and Progress: A Review