نویسنده
فائزه ابراهیمی
موضوع
الگوریتم فراابتکاری حسابی، تشخیص، مبتنی بر قاعده زنجیرهای رو به جلو، بیماری عفونی کووید-19، منطق فازی، سوگنو
نوع
سند
زبان
نامشخص
دیجیتال
بله
نسخه خطی
خیر
کتابخانه
کتابخانه های دانشگاه کوئینز بلفاست
شناسه دارایی کتابخانه
ISSN: 2008-4854, EISSN: 2783-2538, DOI: 10.22075/jme.2023.27986.2312
شماره ثبت
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
