METHODS OF THE ESTIMATED TWO-PARAMETER LINEAR REGRESSION MODELSFOR DIAGNOSIS OF BRONCHIAL ASTHMA SEVERITY IN CHILDREN

  • PIHNASTYI OLEH MYKHAILOVYCH Department of distributed information systems and cloud technologies, National Technical University "Kharkiv Polytechnic Institute", Kharkov, Ukraine,
  • KOZHYNA OLGA SERGEYEVNA Department of Fundamentals of Pediatrics No.2,Kharkiv National Medical University, Kharkiv, Ukraine.

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.

Keywords: asthma, child, regression model

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OLEH MYKHAILOVYCH, P., & OLGA SERGEYEVNA, K. (2021). METHODS OF THE ESTIMATED TWO-PARAMETER LINEAR REGRESSION MODELSFOR DIAGNOSIS OF BRONCHIAL ASTHMA SEVERITY IN CHILDREN. Innovare Journal of Medical Sciences, 9(1), 23-30. https://doi.org/10.22159/ijms.2021.v9i1.40408
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