Information Technology for Classification of Donosological and Pathological States Using the Ensemble of Data Mining Methods

• Date: 2021
• Main Authors: Kryvova, O.A., Kozak, L.M.
• Format: Article
• Language: English
• Published: Міжнародний науково-навчальний центр інформаційних технологій і систем НАН України та МОН України 2021
• Series: Cybernetics and computer engineering
• Subjects: Medical and Biological Cybernetics
• Online Access: http://dspace.nbuv.gov.ua/handle/123456789/181418
• Journal Title: Digital Library of Periodicals of National Academy of Sciences of Ukraine
• Cite this: Information Technology for Classification of Donosological and Pathological States Using the Ensemble of Data Mining Methods / O.A. Kryvova, L.M. Kozak // Cybernetics and computer engineering. — 2021. — № 1 (203). — С. 77-96. — Бібліогр.: 44 назв. — англ.

The purpose of the paper is to develop information technology for the classification of human health states using an set of Data Mining methods and to carry out its validation on examples of a operators` functional state and patient's disease severity. Results. The developed IT unites several stages: I — data pre-processing; II — clustering, selecting the homogeneous groups (data segmentation); III — predictors` identification; IV — classifying the studied states, development of predictive models using machine learning algorithms (Decision trees, Support vector machines, neural networks) and the method crossvalidation. The proposed IT was used to classify the operators` functional statе and the patients` severity in case of disease progression.