<link rel="stylesheet" href="styles.f3b1fba60ec7970c.css">

Fuzzy neural network method for assessing the effectiveness of odontogenic phlegmons treatment of the maxillofacial region

dc.contributor.authorDalishchuk, A.en
dc.contributor.authorPavlov, S.en
dc.contributor.authorPolishchuk, S.en
dc.contributor.authorPolishchuk, V.en
dc.contributor.authorSachaniuk-Kavets'ka, N.en
dc.contributor.authorDavydiuk, L.en
dc.contributor.authorKornilenko, O.en
dc.contributor.authorПавлов, С. В.uk
dc.contributor.authorСачанюк-Кавецька, Н. В.uk
dc.contributor.authorДавидюк, Л. П.uk
dc.contributor.authorКорніленко, О. С.uk
dc.titleFuzzy neural network method for assessing the effectiveness of odontogenic phlegmons treatment of the maxillofacial regionen
dc.date.issued2025
dc.publisherSPIEen
dc.identifier.citationDalishchuk А., Pavlov S., Polishchuk S., Polishchuk V., Sachaniuk-Kavets`ka N., Davydiuk L., Kornilenko O. Fuzzy neural network method for assessing the effectiveness of odontogenic phlegmons treatment of the maxillofacial region // Proceeding SPIE. Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2025, Lublin, Poland, 30 December 2025. Vol. 14009, № 1400905. DOI: https://doi.org/10.1117/12.3099306.en
dc.relation.ispartofProceeding SPIE. Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2025, Lublin, Poland, 30 December 2025. Vol. 14009, № 1400905.en
dc.identifier.doihttps://doi.org/10.1117/12.3099306
dc.identifier.issn0277-786X
dc.identifier.urihttps://ir.lib.vntu.edu.ua/handle/123456789/50959
dc.description.abstractThe paper analyzes the main areas of application of mathematical methods in medical diagnostics, formulates the principles of diagnostics based on fuzzy logic. The basic structure of the MIS medical information system for assessing the degree of engraftment of effectiveness of odontogenic phlegmons treatment of the maxillofacial region was developed and the main recommendations for its design were put forward, namely: the selection and purpose of the system; selection of the structural scheme of the system; formation and analysis of the list of nosological forms, collection of statistically reliable information about the severity of symptoms; choosing a method of processing biomedical information; construction of an algorithm for solving the problems of evaluating biomedical information and forming diagnostic and prognostic conclusions. The practical value of the work lies in the possibility of using an automated medical expert system to solve the problems of medical diagnosis based on fuzzy logic when assessing the degree of engraftment of effectiveness of odontogenic phlegmons treatment of the maxillofacial region.en
dc.subjectmedical expert systemsen
dc.subjectodontogenic phlegmonsen
dc.subjectsupporting diagnostic decisionmaking based on fuzzy logicen
dc.subjectfuzzy logicen
dc.subjectpatient safetyen
dc.typeArticle, Scopus-WoS
dc.typeArticle
dc.language.isoen_USen_US
dc.date.accessioned2026-03-24T10:45:26Z
dc.date.available2026-03-24T10:45:26Z

Файли

Контейнер файлів

Зараз показуємо 1 - 1 з 1
Вантажиться...
Ескіз
Назва:
196483.pdf
Розмір:
1,58 MB
Формат:
Adobe Portable Document Format

Ліцензійна угода

Зараз показуємо 1 - 1 з 1
Вантажиться...
Ескіз
Назва:
license.txt
Розмір:
129 B
Формат:
Plain Text
Опис: