Classification and Categorization of COVID-19 Outbreak in Pakistan

作     者：Amber Ayoub Kainaat Mahboob Abdul Rehman Javed Muhammad Rizwan Thippa Reddy Gadekallu Mustufa Haider Abidi Mohammed Alkahtani 

作者机构：Department of Computer ScienceKinnaird College for WomenLahore54000Pakistan Department of Cyber SecurityAir UniversityIslamabadPakistan School of Information Technology and EngineeringVellore Institute of TechnologyTamil NaduIndia Raytheon Chair for Systems EngineeringAdvanced Manufacturing InstituteKing Saud UniversityRiyadh11421Saudi Arabia Industrial Engineering DepartmentCollege of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第69卷第10期

页      面：1253-1269页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0202[经济学-应用经济学] 02[经济学] 0808[工学-电气工程] 020205[经济学-产业经济学] 0809[工学-电子科学与技术（可授工学、理学学位）] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0801[工学-力学（可授工学、理学学位）] 

基　　金：The authors are grateful to the Raytheon Chair for Systems Engineering for funding 

主　　题：COVID-19 pandemic neural network BRANN machine learning 

摘      要：Coronavirus is a potentially fatal disease that normally occurs in mammals and ***,in humans,the virus spreads through aerial droplets of any type of fluid secreted from the body of an infected *** is a family of viruses that is more lethal than other unpremeditated *** December 2019,a new variant,i.e.,a novel coronavirus(COVID-19)developed in Wuhan province,*** January 23,2020,the number of infected individuals has increased rapidly,affecting the health and economies of many countries,including *** objective of this research is to provide a system to classify and categorize the COVID-19 outbreak in Pakistan based on the data collected every day from different regions of *** research also compares the performance of machine learning classifiers(i.e.,Decision Tree(DT),Naive Bayes(NB),Support Vector Machine,and Logistic Regression)on the COVID-19 dataset collected in *** to the experimental results,DT and NB classifiers outperformed the other *** addition,the classified data is categorized by implementing a Bayesian Regularization Artificial Neural Network(BRANN)*** results demonstrate that the BRANN classifier outperforms state-of-the-art classifiers.