Methods of the estimated two-parameter linear regression models for diagnosis of bronchial asthma severity in children

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dc.contributor.authorPihnastyi, O. M.en
dc.contributor.authorKozhyna, O. S.en
dc.date.accessioned2021-02-16T11:59:26Z
dc.date.available2021-02-16T11:59:26Z
dc.date.issued2021
dc.description.abstractObjectives: 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.en
dc.identifier.citationPihnastyi 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.en
dc.identifier.orcidhttps://orcid.org/0000-0002-5424-9843
dc.identifier.orcidhttps://orcid.org/0000-0002-4549-6105
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/51041
dc.language.isoen
dc.publisherInnovare Academic Sciences, Indiaen
dc.subjectasthmaen
dc.subjectchilden
dc.subjectregression modelen
dc.titleMethods of the estimated two-parameter linear regression models for diagnosis of bronchial asthma severity in childrenen
dc.typeArticleen

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