КФУ. Карточка публикации. DESIGNING A MEDICAL EXPERT SYSTEM BASED ON FUZZY LOGIC

КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ

RUS

- EN
- 中文
- ES

DESIGNING A MEDICAL EXPERT SYSTEM BASED ON FUZZY LOGIC

Форма представления

Тезисы и материалы конференций в зарубежных журналах и сборниках

Год публикации

2022

Язык

русский

Авторы, сотрудники КФУ

Бурнашев Рустам Арифович, автор

Еникеев Арслан Ильясович, автор

Авторы, студенты КФУ

Еникеева Аделя Искандеровна, автор

Фахртдинова Илюза Динафовна, автор

Библиографическое описание на языке оригинала

Rustam Burnashev, Arslan Enikeev, Adelya Enikeeva and Ilyuza Fakhrtdinova, DESIGNING A MEDICAL EXPERT SYSTEM BASED ON FUZZY LOGIC // PROCEEDINGS OF THE 15th IADIS INTERNATIONAL CONFERENCE INFORMATION SYSTEMS-IADIS Press - 2022 -pp.39-47

Аннотация

PROCEEDINGS OF THE 15th IADIS INTERNATIONALCONFERENCE

Ключевые слова

Expert Systems, Fuzzy Logic, Rules, SWI-Prolog, Pneumonia

Название журнала

PROCEEDINGS OF THE 15th IADIS INTERNATIONALCONFERENCE

URL

https://www.is-conf.org/

Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку

https://repository.kpfu.ru/?p_id=267377

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Бурнашев Рустам Арифович	ru_RU
dc.contributor.author	Еникеев Арслан Ильясович	ru_RU
dc.contributor.author	Еникеева Аделя Искандеровна	ru_RU
dc.contributor.author	Еникеева Аделя Искандеровна	ru_RU
dc.contributor.author	Фахртдинова Илюза Динафовна	ru_RU
dc.contributor.author	Фахртдинова Илюза Динафовна	ru_RU
dc.date.accessioned	2022-01-01T00:00:00Z	ru_RU
dc.date.available	2022-01-01T00:00:00Z	ru_RU
dc.date.issued	2022	ru_RU
dc.identifier.citation	Rustam Burnashev, Arslan Enikeev, Adelya Enikeeva and Ilyuza Fakhrtdinova, DESIGNING A MEDICAL EXPERT SYSTEM BASED ON FUZZY LOGIC // PROCEEDINGS OF THE 15th IADIS INTERNATIONAL CONFERENCE INFORMATION SYSTEMS-IADIS Press - 2022 -pp.39-47	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=267377	ru_RU
dc.description.abstract	PROCEEDINGS OF THE 15th IADIS INTERNATIONALCONFERENCE	ru_RU
dc.description.abstract	During the COVID-19 pandemic, humanity faced various health problems. One of the most common diseases is pneumonia. The life of every person depends on the correct and effective diagnosis of the disease. Currently, a large number of software applications with elements of artificial intelligence are being developed, which can reduce the time of patient care, improve the methodology and efficiency of disease diagnosis. With our research, we strive to contribute to the development of such software applications, namely, to develop software tools with elements of fuzzy logic. To develop a decision-making system, scales and algorithms in order to assess we considered the prognosis of the severity of community-acquired pneumonia PORT(PSI), CURB/CRB-65 and SMART-COP/SMART-CO. To improve the quality of processing fuzzy production rules of knowledge base, the logic programming language Prolog was used. The created application is planned to be integrated into medical information systems.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Expert Systems	ru_RU
dc.subject	Fuzzy Logic	ru_RU
dc.subject	Rules	ru_RU
dc.subject	SWI-Prolog	ru_RU
dc.subject	Pneumonia	ru_RU
dc.title	DESIGNING A MEDICAL EXPERT SYSTEM BASED ON FUZZY LOGIC	ru_RU
dc.type	Тезисы и материалы конференций в зарубежных журналах и сборниках	ru_RU