A Healthcare System for COVID19 Classification Using Multi-Type Classical Features Selection

作     者：Muhammad Attique Khan Majed Alhaisoni Muhammad Nazir Abdullah Alqahtani Adel Binbusayyis Shtwai Alsubai Yunyoung Nam Byeong-Gwon Kang 

作者机构：Department of Computer ScienceHITEC UniversityTaxilaPakistan Computer Sciences DepartmentCollege of Computer and Information SciencesPrincess Nourah Bint Abdulrahman University(PNU)P.O.Box 84428Riyadh11671Saudi Arabia College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of ICT ConvergenceSoonchunhyang UniversityAsan31538Korea 

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

年 卷 期：2023年第74卷第1期

页      面：1393-1412页

核心收录：

学科分类：0710[理学-生物学] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 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] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：supported by Korea Institute for Advancement of Technology(KIAT)grant funded by the Korea Government(MOTIE)(P0012724,The Competency Development Program for Industry Specialist) the Soonchunhyang University Research Fund 

主　　题：COVID19 features extraction information fusion optimization prediction 

摘      要：The coronavirus(COVID19),also known as the novel coronavirus,first appeared in December 2019 in Wuhan,*** that,it quickly spread throughout the world and became a *** has significantly impacted our everyday lives,the national and international economies,and public ***,early diagnosis is critical for prompt treatment and reducing trauma in the healthcare *** radiologists primarily use chest X-rays,and computerized tomography(CT)scans to test for pneumonia *** used Chest CT scans to predict COVID19 pneumonia and healthy scans in this *** proposed a joint framework for prediction based on classical feature fusion and PSO-based *** begin by extracting standard features such as discrete wavelet transforms(DWT),discrete cosine transforms(DCT),and dominant rotated local binary patterns(DRLBP).In addition,we extracted Shanon Entropy and Kurtosis *** the following step,a Max-Covariance-based maximization approach for feature fusion is *** fused features are optimized in the preliminary phase using Particle Swarm Optimization(PSO)and the ELM fitness *** final prediction,PSO is used to obtain robust features,which are then implanted in a Support Vector Data Description(SVDD)*** experiment is carried out using available COVID19 Chest CT Scans and scans from healthy *** images are from the Radiopaedia *** the proposed scheme,the fusion and selection process accuracy is 88.6%and 93.1%,respectively.A detailed analysis is conducted,which supports the proposed system efficiency.