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METHODS OF THE ESTIMATED TWO-PARAMETER LINEAR REGRESSION MODELSFOR DIAGNOSIS OF BRONCHIAL ASTHMA SEVERITY IN CHILDRENстатья Исследовательская статья Научно-популярная статья
- Авторы: PIHNASTYI OLEH, KOZHYNA OLGA
- Журнал: Innovare Journal of Medical Sciences
- Том: 9
- Номер: 1
- Год издания: 2021
- Издательство: Innovare Academics Sciences Pvt. Ltd
- Местоположение издательства: Bhopal, India
- Первая страница: 23
- Последняя страница: 30
- Аннотация: 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. Keywords: Asthma, Child, Regression model.
- Добавил в систему: Пигнастый Олег Михайлович
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | Полный текст | METHODS OF THE ESTIMATED TWO-PARAMETER LINEAR REGRESSION MODELSFOR DIAGNOSIS OF BRONCHIAL ASTHMA SEVERITY IN CHILDREN | 40408-Article_Text-191227-1-10-20210206_2.pdf | 853,5 КБ | 20 февраля 2021 [pihnastyi@gmail.com] |