Кафедра "Інтернет речей"

Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/5398

Увага! Поповнення колекції кафедри "Інтернет речей" – призупинено.

Від вересня 2022 року кафедри "Інтернет речей" та "Мультимедійних інформаційних технологій і систем" об’єднані у кафедру "Мультимедійні та інтернет технології і системи".

Первісна назва кафедри – "Розподілені інформаційні системи і хмарні технології".

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Фільтри

2019 - 20202

Налаштування

Автор: search.filters.author.Kozhyna, Olga S.ORCID: search.filters.orcid.https://orcid.org/0000-0002-5424-9843

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  • Ескіз
    Документ
    Use of the complex of models of regression for analysis of the factors that determine the severity of bronchial asthma
    (2020) Pihnastyi, O. M.; Kozhyna, Olga S.
    Background: According to an International Study of Asthma and Allergies in Childhood (ISAAC), the prevalence of asthma in children of 6-7 years old has increased by 10%, and at the age of 13-14 years by 16% over the last decade. Determining the factors that are keys to the occurrence of the disease and its severity is important in explaining the pathogenesis of bronchial asthma. Methods: Analyzed 142 indicators of clinical and paraclinical examination of 70 children with asthma. To select factors that could be significant in the formation of severe asthma, applied the method of logistic regression with step-by-step inclusion of predictors. Both quantitative and qualitative characteristics were selected. Each qualitative attribute was coded “1” if the child had this characteristic, or “0” if this characteristic had not been established. The formation of a severe asthma course was accepted according to (1) and the absence of a severe asthma flow formation as (0). Results: Analyzed the model of paired regression, the boundary value of thymic stromal lymphopoietin was established, exceeding which indicates the high probability of the presence of severe bronchial asthma. Increasing the value of thymic stromal lymphopoietin by 10 pg/mL suggests an increase in the likelihood of severe asthma by 10%. Conclusions: A complex of steam regression models has been developed to determine the factors characterizing the severity of bronchial asthma. The risk of developing severe bronchial asthma in children has been determined and 15 factors have been identified that affect severe asthma.
  • Ескіз
    Документ
    On Determining the Volume of Repeated and Non-Repeated Sampling in the Preparation of Clinical Studies
    (ARC Publications, 2019) Kozhyna, Olga S.; Pihnastyi, O. M.
    In this article, non-repeatable and repeatable sampling methods were analyzed. Main objectives connected with the use of sampling research method were determined. The problem of non-repeatable sampling amount defining at a given rate of bronchial asthma prevalence was analyzed. Key preconditions and assumptions used when constructing the expression to determine the non-repeatable and repeatable sample amount were depicted.