Open AccessFuzzy Expert System for Severity Measurement of COVID-19 Suspect
Author(s) -
B.T. Jadhav,
Ganesh Nhivekar
Publication year - 2021
Publication title -
international journal of research and review
Language(s) - English
Resource type - Journals
eISSN - 2454-2237
pISSN - 2349-9788
DOI - 10.52403/ijrr.20211219
Subject(s) - suspect , covid-19 , fuzzy logic , expert system , pandemic , disease , computer science , artificial intelligence , medicine , data mining , psychology , infectious disease (medical specialty) , virology , pathology , criminology , outbreak
The pandemic of COVID-19 disease is spread over the world. The symptoms of COVID-19 disease can vary from mild to severe illness. Also, these symptoms are complex and uncertain in nature. The severity score is useful to treat the suspect that highly depends on symptoms. To handle with this problem, the current study makes use of the Fuzzy Expert System which is one in every of the foremost suitable methods in modelling systems with high uncertainty and complexity. In this study, the fuzzy-based expert system is designed to measure the severity of COVID-19 disease in suspect.Keywords: Fuzzy Logic, Expert System, COVID-19 .