Methods for constructing estimated two-factor linear regression models for diagnosing the severity of bronchial asthma in children

  • Pihnastyi O.M. Department of distributed in formation systems and cloud technologies, National Technical University "Kharkiv Polytechnic Institute" Pushkinskaya 79-2, 1st Floor, Kharkov, Ukraine, 61102
  • Kozhyna O.S. Department of Fundamentals of Pediatrics No.2, Kharkiv National Medical University, 4 Nauky Avenue, Kharkiv, Ukraine

Abstract

Predicting the severity of bronchial asthma in children remains a difficult due to the heterogeneity of the disease. A clinical and paraclinical examination of 70 children with a diagnosis of bronchial asthma at the age from 6 to 18 years was carried out. 142 factors were analyzed and the degree of interrelationship between them was determined. To diagnose the severity of bronchial asthma,one-factor regression modelsare used and developed a method for constructing two-factor linear models. The proposed method for constructing evaluative two-parameter models has a satisfactory accuracy, which makes it possible to use the proposed class of models to determine the relationships between the observed value and the factors under study.

Keywords: asthma, child, regression model

References

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Pihnastyi O.M., & Kozhyna O.S. (2021). Methods for constructing estimated two-factor linear regression models for diagnosing the severity of bronchial asthma in children. Innovare Journal of Medical Sciences, 9(1). Retrieved from https://innovareacademics.in/journals/index.php/ijms/article/view/40408
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