@article{OLEH MYKHAILOVYCH_OLGA SERGEYEVNA_2021, title={METHODS OF THE ESTIMATED TWO-PARAMETER LINEAR REGRESSION MODELSFOR DIAGNOSIS OF BRONCHIAL ASTHMA SEVERITY IN CHILDREN}, volume={9}, url={https://journals.innovareacademics.in/index.php/ijms/article/view/40408}, DOI={10.22159/ijms.2021.v9i1.40408}, abstractNote={<p><strong>Objectives: </strong>Prognostication of bronchial asthma severity in children by means of two-parameter regression models building.</p> <p><strong>Methods: </strong>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.</p> <p><strong>Results: </strong>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.</p> <p><strong>Conclusion: </strong>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.</p>}, number={1}, journal={Innovare Journal of Medical Sciences}, author={OLEH MYKHAILOVYCH, PIHNASTYI and OLGA SERGEYEVNA, KOZHYNA}, year={2021}, month={Jan.}, pages={23–30} }