Methods for constructing estimated two-factor linear regression models for diagnosing the severity of bronchial asthma in children
| dc.contributor.author | Pihnastyi, Oleh | |
| dc.contributor.author | Kozhyna, Olga | |
| dc.date.accessioned | 2021-05-16T17:09:56Z | |
| dc.date.available | 2021-05-16T17:09:56Z | |
| dc.date.issued | 2021 | |
| dc.description.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. | en_US |
| dc.identifier.citation | Pihnastyi O. M. Methods for constructing estimated two-factor linear regression models for diagnosing the severity of bronchial asthma in children / O. M. Pihnastyi, O. S. Kozhyna // Innovare Journal of Medical Sciences. – 2021. – № 9 (1). – С. 23–30. – DOI: https://doi.org/10.22159/ijms.2021.v9i1.40408. | en_US |
| dc.identifier.other | https://doi.org/10.22159/ijms.2021.v9i1.40408 | |
| dc.identifier.uri | https://repo.knmu.edu.ua/handle/123456789/28562 | |
| dc.language.iso | en | en_US |
| dc.subject | asthma | en_US |
| dc.subject | children | en_US |
| dc.subject | regression model | en_US |
| dc.title | Methods for constructing estimated two-factor linear regression models for diagnosing the severity of bronchial asthma in children | en_US |
| dc.type | Article | en_US |