Please use this identifier to cite or link to this item: http://repository.kpi.kharkov.ua/handle/KhPI-Press/51041
Title: Methods of the estimated two-parameter linear regression models for diagnosis of bronchial asthma severity in children
Authors: Pihnastyi, O. M.
Kozhyna, O. S.
Keywords: asthma; child; regression model
Issue Date: 2021
Publisher: Innovare Academic Sciences, India
Citation: Pihnastyi O. M. Methods of the estimated two-parameter linear regression models for diagnosis of bronchial asthma severity in children / O. M. Pihnastyi, O. S. Kozhyna // Innovare Journal of Medical Sciences. – 2021. – Vol. 9, iss. 1. – P. 23-30.
Abstract: Objectives: Prognostication of bronchial asthma severity in children by means of two-parameter regression models building. Methods: A clinical study of 70 children with bronchial asthma diagnosis of 6 to 18 years old was done.142 factors were analyzed and a degree of relationship among them was revealed. Single-factor regression models were used during preliminary experimental data processing. Results: The correlation connection between the value observed and the factors under research was revealed. The method of two-parameter linear models with a fair accuracy was developed. Conclusion: The suggested method of approximate two-parameter linear regression models can be used for preliminary analysis of medical research data where the value observed depends on a big number of loosely connected factors.
ORCID: orcid.org/0000-0002-5424-9843
orcid.org/0000-0002-4549-6105
URI: http://repository.kpi.kharkov.ua/handle/KhPI-Press/51041
Appears in Collections:Кафедра "Розподілені інформаційні системи та хмарні технології"

Files in This Item:
File Description SizeFormat 
IJMS_2021_9_1_Pihnastyi_Methods.pdf853,54 kBAdobe PDFThumbnail
View/Open
Show full item record  Google Scholar



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.