Open AccessWays to optimize the prediction of vascular events in patients with acute coronary syndrome and atherosclerotic lesions of the renal arteries
Author(s) -
Nataliya Kobzeva,
В Г Терентьев,
I.A. Zolotuhina
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/680/1/012046
Subject(s) - medicine , coronary arteries , consistency (knowledge bases) , logistic regression , cardiology , acute coronary syndrome , artery , computer science , artificial intelligence , myocardial infarction
Using the logistic regression equations obtained during the work, forecast tables were developed to assess the risk of developing vascular events in the long term. The proposed forecasting model is an independent method for assessing the risk of fatal and non-fatal vascular events. The consistency of the model has a scientific and practical justification. The proposed original risk model can be used in a comprehensive examination of patients with acute coronary syndrome and atherosclerotic lesions of the renal arteries.