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|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|
|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.|
|Appears in Collections:||Кафедра "Розподілені інформаційні системи та хмарні технології"|
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