Please use this identifier to cite or link to this item:
http://repo.knmu.edu.ua/handle/123456789/24889
Title: | Intelligent Expert System of Knowledge Examination of Medical Staff Regarding Infections Associated with the Provision of Medical Care |
Authors: | Chumachenko, Dmytro Balitskii, Victor Chumachenko, Tetyana Makarova, Viktoriia Railian, Maryna |
Keywords: | expert system knowledge assessment infections related to medical care |
Issue Date: | 2-Jun-2019 |
Citation: | Intelligent Expert System of Knowledge Examination of Medical Staff Regarding Infections Associated with the Provision of Medical Care / D. Chumachenko, V. Balitskii, T. Chumachenko, V. Makarova, M. Railian // Modern Machine Learning Technologies and Data Science. – 2019. – Vol. 2386 : Workshop Proceedings of the 8th International Conference on “Mathematics. Information Technologies. Education”, Shatsk, Ukraine, June 2–4, 2019. – P. 321–330. |
Abstract: | The use of intellectual recommender systems, based on the analysis of the questionnaire of medical workers, generates the rules for their education and detects gaps in knowledge, will allow to effectively solve the issues of prevention of IRMC, which will lead to a decrease in morbidity. The aim of the study is to create a software package that allows for an automated assessment of the knowledge of nursing staff on the prevention of hand hygiene in the performance of professional duties. With the help of the developed program complex, 817 paramedical medical personnel of medical institutions of the Kharkiv region were surveyed. Results are statistically processed. Dependencies of knowledge and skills of medical personnel have been established. |
URI: | https://repo.knmu.edu.ua/handle/123456789/24889 |
Appears in Collections: | Наукові праці. Кафедра епідеміології |
Files in This Item:
File | Description | Size | Format | |
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Статья_Чумаченко.pdf | 549,73 kB | Adobe PDF | View/Open |
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