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Carotid Plaque events - Europe PMC

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Last Updated: 15 February 2022

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Impact Analysis of Different CT Configurations of Carotid Artery Plaque Calcifications on Cerebrovascular Events.

We wanted to explore the relationship between different types of calcium configurations found inside the plaque with CT within the plaque's needle as a result of a novel classification and to determine cerebrovascular events. type 1, complete absence of calcification within the plaque; type 2, intimal or superficial calcifications; type 3, deep or bulky calcifications; type 4, adventitial calcifications with internal soft plaques of 2 mm thickness; and type 6, positive rim sign. The frequency of symptoms identified by style varied greatly between right and left plaques, with symptoms present more commonly in type 6 calcification on the right side than on the left side.

Source link: https://europepmc.org/article/MED/35121588


A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study.

Motivation Machine learning algorithms can aid in the prediction of cardiovascular events. However, ML algorithms are mostly investigated for predicting a single CVE at a time. This research aims to develop and implement an ML-based platform to predict multi-label CVEs, such as coronary artery disease, acute coronary syndrome, and a composite CVE-a class of AtheroEdge 3. 0 devices. Methods are a part of the Oxford Study Group A group of 459 participants is divided into three cardiovascular classes: Methods The study of focused carotid B-mode ultrasound and coronary angiography are carried out on a group of 459 people is based on three cardiovascular brands. For multi-label CVE prediction, six types of classification techniques consisting of four problem transformation techniques and two algorithm adaptation algorithms are used. PTM's primary database produced a more accurate multi-label CVE forecast than AAM, proving our hypothesis. The completed system had an accuracy of 96. 36 0. 8 percent when used on the second Canadian database of seven cardiovascular events.

Source link: https://europepmc.org/article/MED/34973521

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* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions