Comparative Analysis of Swarm Algorithms to Classification of covid19 on X-Rays
2022 International Conference on Data Science and Intelligent Computing, ICDSIC 2022
; : 164-169, 2022.
Article
in English
| Scopus | ID: covidwho-2296961
ABSTRACT
The use of Chest radiograph (CXR) images in the examination and monitoring of different lung disorders like infiltration, tuberculosis, pneumonia, atelectasis, and hernia has long been known. The detection of COVID-19 can also be done with CXR images. COVID-19, a virus that results in an infection of the upper respiratory tract and lungs, was initially detected in late 2019 in China's Wuhan province and is considered to majorly damage the airway and, thus, the lungs of people afflicted. From that time, the virus has quickly spread over the world, with the number of mortalities and cases increasing daily. The COVID-19 effects on lung tissue can be monitored via CXR. As a result, This paper provides a comparison regarding k-nearest neighbors (KNN), Support-vector machine (SVM), and Extreme Gradient Boosting (XGboost) classification techniques depending on Harris Hawks optimization algorithm (HHO), Salp swarm optimization algorithm (SSA), Whale optimization algorithm (WOA), and Gray wolf optimizer (GWO) utilized in this domain and utilized for feature selection in the presented work. The dataset used in this analysis consists of 9000 2D X-ray images in Poster anterior chest view, which has been categorized by using valid tests into two categories 5500 images of Normal lungs and 4044 images of COVID-19 patients. All of the image sizes were set to 200 × 200 pixels. this analysis used several quantitative evaluation metrics like precision, recall, and F1-score. © 2022 IEEE.
classification; Covid-19; GWO; HHO; KNN; SSA; SVM; Swarm Algorithms; WOA; X-Ray; XGboost; Biological organs; Damage detection; Learning algorithms; Nearest neighbor search; Statistical tests; Support vector machines; Viruses; Gray wolf optimizer; Gray wolves; Harris hawk optimization algorithm; Optimization algorithms; Optimizers; Salp swarm optimization algorithm; Salp swarms; Support vectors machine; Swarm optimization algorithms; Whale optimization algorithm
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2022 International Conference on Data Science and Intelligent Computing, ICDSIC 2022
Year:
2022
Document Type:
Article
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