Providing an expert system with the help of Arithmetic meta-heuristic algorithm to diagnose the infectious disease of covid-19

Name: Providing an expert system with the help of Arithmetic meta-heuristic algorithm to diagnose the infectious disease of covid-19
Author: Faezeh Ebrahimi

İsim	Providing an expert system with the help of Arithmetic meta-heuristic algorithm to diagnose the infectious disease of covid-19
Yazar	Faezeh Ebrahimi
Konu	arithmetic meta-heuristic algorithm, diagnosis, forward chaining rule based, infectious disease covid-19, s fuzzy logic, sogno
Tür	Belge
Dil	Belirlenmemiş dil
Dijital	Evet
Yazma	Hayır
Kütüphane:	Belfast Kraliçe Üniversitesi Kütüphaneleri
Demirbaş Numarası	ISSN: 2008-4854, EISSN: 2783-2538, DOI: 10.22075/jme.2023.27986.2312
Kayıt Numarası	cdi_doaj_primary_oai_doaj_org_article_a92315a6b14347b48c45855b7947a49a
Açıklama	The last two years have been the most critical and critical period of the Covid-19 pandemic.This disease has affected most aspects of life around the world. From a clinical point of view, several methods are available for early diagnosis of the disease, but the capabilities of these methods have been limited. As a result, many studies have been conducted to automatically diagnose the disease. Artificial intelligence has provided potential technical solutions to the medical community to make quick diagnosis based on clinical symptoms.In this research, the patient's clinical symptoms (fever, cough, sore throat, shortness of breath, weakness, sense of taste and smell, environment) are examined with the help of a questionnaire,then the input data is examined by one of rule based system or fuzzy system methods, in the fuzzy method with the help of arithmetic meta-heuristic algorithm. The optimized weight parameter is then applied to the data with the optimized weight fuzzy logic. At the end, the output will be shown as healthy person, weak corona, middel corona, high corona. This article is based on several databases, in which about 600 data have been completed by individuals through questionnaires, 2000 data have been published by the World Health Organization for corona patients, and about 400 data have been provided through hospital data. It was observed that in this system, the accuracy rate is equal to 98%, sensitivity is 100%, specificity is 98% and the F- score is 95%.
Şuna bir parçasıdır	مجله مدل سازی در مهندسی, 1402-04, Vol.21 (73), p.47-61
Kaynak	DOAJ Directory of Open Access Journals

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Providing an expert system with the help of Arithmetic meta-heuristic algorithm to diagnose the infectious disease of covid-19

Yazar Faezeh Ebrahimi

Konu arithmetic meta-heuristic algorithm, diagnosis, forward chaining rule based, infectious disease covid-19, s fuzzy logic, sogno

Tür Belge

Dil Belirlenmemiş dil

Dijital Evet

Yazma Hayır

Kütüphane Belfast Kraliçe Üniversitesi Kütüphaneleri

Demirbaş Numarası ISSN: 2008-4854, EISSN: 2783-2538, DOI: 10.22075/jme.2023.27986.2312

Kayıt Numarası cdi_doaj_primary_oai_doaj_org_article_a92315a6b14347b48c45855b7947a49a

Açıklama The last two years have been the most critical and critical period of the Covid-19 pandemic.This disease has affected most aspects of life around the world. From a clinical point of view, several methods are available for early diagnosis of the disease, but the capabilities of these methods have been limited. As a result, many studies have been conducted to automatically diagnose the disease. Artificial intelligence has provided potential technical solutions to the medical community to make quick diagnosis based on clinical symptoms.In this research, the patient's clinical symptoms (fever, cough, sore throat, shortness of breath, weakness, sense of taste and smell, environment) are examined with the help of a questionnaire,then the input data is examined by one of rule based system or fuzzy system methods, in the fuzzy method with the help of arithmetic meta-heuristic algorithm. The optimized weight parameter is then applied to the data with the optimized weight fuzzy logic. At the end, the output will be shown as healthy person, weak corona, middel corona, high corona. This article is based on several databases, in which about 600 data have been completed by individuals through questionnaires, 2000 data have been published by the World Health Organization for corona patients, and about 400 data have been provided through hospital data. It was observed that in this system, the accuracy rate is equal to 98%, sensitivity is 100%, specificity is 98% and the F- score is 95%.

Şuna bir parçasıdır مجله مدل سازی در مهندسی, 1402-04, Vol.21 (73), p.47-61

Kaynak DOAJ Directory of Open Access Journals