Managing infectious and inflammatory complications in closed kidney injuries on the basis of fuzzy models
by Nikolay Korenevskiy; Seregin Stanislav Petrovich; Riad Taha Al-Kasasbeh; Ayman Ahmad Alqaralleh; Gennadij Vjacheslavovich Siplivyj; Mahdi Salman Alshamasin; Sofia Nikolaevna Rodionova; Ivan Mikhailovich Kholimenko; Maxim Yurievich Ilyash
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 15, No. 1, 2023
Abstract: The aim of this work is to reduce the time and cost of forecasting, preventing and treating patients with infectious complications with kidney injuries. The study is based on the results of a retrospective analysis of the medical records of 123 patients with various forms of kidney injury. Using the methods of analysis, it was shown that in order to achieve acceptable for practice quality prediction of possible infectious and inflammatory complications, the level of psycho-emotional stress and energy of biologically active points 'connected' to the kidneys is used as additional prognostic signs, with the confidence in the correct prediction increasing to 0.93.
Online publication date: Wed, 30-Nov-2022
The full text of this article is only available to individual subscribers or to users at subscribing institutions.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Medical Engineering and Informatics (IJMEI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com