Open AccessMETHODS OF THE ESTIMATED TWO-PARAMETER LINEAR REGRESSION MODELSFOR DIAGNOSIS OF BRONCHIAL ASTHMA SEVERITY IN CHILDREN
Author(s) -
Pihnastyi Oleh Mykhailovych,
Kozhyna Olga Sergeyevna
Publication year - 2021
Publication title -
innovare journal of medical sciences
Language(s) - English
Resource type - Journals
ISSN - 2321-4406
DOI - 10.22159/ijms.2021.v9i1.40408
Subject(s) - asthma , linear regression , regression analysis , statistics , medicine , regression , value (mathematics) , mathematics , correlation , linear model , geometry
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.