Machine learning in assessing the association between the size and structure of the ascending aortic wall in patients with aortic dilatation of varying severity

Machine learning in assessing the association between the size and structure of the ascending aortic wall in patients with aortic dilatation of varying severity

Aim. To assess the association between pathological ascending aortic (AA) wall changes and its planimetric characteristics in non-syndromic non-familial (sporadic) aneurysm and dilation of the AA.Material and methods. The study included 174 patients with sporadic aneurysms and dilation of the AA, wh...

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Bibliographic Details
Main Authors: V. E. Uspenskiy, V. L. Saprankov, V. I. Mazin, D. G. Zavarzina, A. B. Malashicheva, O. B. Irtyuga, O. M. Moiseeva, M. L. Gordeev
Format: Article
Language:Russian
Published: «FIRMA «SILICEA» LLC 2023-11-01
Series:Российский кардиологический журнал
Subjects:
aneurysm
thoracic aorta
bicuspid aortic valve
logistic models
random forest
risk factors
Online Access:https://russjcardiol.elpub.ru/jour/article/view/5527
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