Prediction System for Diagnosis and Detection of Coronavirus Disease-2019(COVID-19):A Fuzzy-Soft Expert System

作     者：Wencong Liu Ahmed Mostafa Khalil Rehab Basheer Yong Lin 

作者机构：School of ScienceXi’an Technological UniversityXi’an710021China Department of MathematicsFaculty of ScienceAl-Azhar UniversityAssiut71524Egypt Department of MathematicsFaculty of ScienceAssiut UniversityAssiut71516Egypt Respiratory Department of Nanjing Chest Hospital Affiliated to Southeast UniversityNanjing210000China 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2023年第135卷第6期

页      面：2715-2730页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 0701[理学-数学] 10[医学] 

主　　题：Coronavirus disease-2019(COVID-19) fuzzy-soft expert system fuzzy expert system diagnosed results 

摘      要：In early December 2019,a new virus named“2019 novel coronavirus(2019-nCoV)appeared in Wuhan,*** disease quickly spread worldwide,resulting in the COVID-19 *** the currentwork,we will propose a novel fuzzy softmodal(i.e.,fuzzy-soft expert system)for early detection of *** construction of the fuzzy-soft expert systemconsists of five *** exploratory study includes sixty patients(i.e.,fortymales and twenty females)with symptoms similar to COVID-19 in(Nanjing Chest Hospital,Department of Respiratory,China).The proposed fuzzy-soft expert systemdepended on five symptoms of COVID-19(i.e.,shortness of breath,sore throat,cough,fever,and age).We will use the algorithm proposed by Kong et *** detect these patients who may suffer from *** this way,the present system is beneficial to help the physician decide if there is any patient who has COVID-19 or ***,we present the comparison between the present system and the fuzzy expert system.