A new method based CNN combined with genetic algorithm and support vector machine for covid-19 detection by analyzing x-ray images
Yükleniyor...
Dosyalar
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
COVID-19 is an infectious disease caused by the most recently discovered coronavirus. This
new type of virus and disease was unknown before the outbreak began in Wuhan, China in December
2019. COVID-19 poses a serious public health threat. Older adults and people with pre-existing medical
conditions such as diabetes, hypertension, heart disease, chronic lung diseases, obesity are at higher
risk of experiencing complications and serious illness. The computer scientist applied several machine
learning and deep learning techniques to detect COVID-19 in last year. In this study, efficient COVID-19
detection framework presented to detect COVID-19 by analyzing x-ray tests. The proposed framework
based CNN combined with genetic algorithm and SVM classifier. The main contribution in this study
is combining CNN with genetic algorithm and SVM to detect COVID-19 with accurate estimation and
minimum execution time. Several scenarios are executed to validated the presented method. Finally,
the obtained results compared with several studies presented to solve this problem.
Açıklama
Anahtar Kelimeler
COVID-19, Genetic algorithm, SVM, CNN
Kaynak
AURUM Journal of Health Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
4
Sayı
1
Künye
Dawood, K. M. (2022). A new method based CNN combined with genetic algorithm and support vector machine for covid-19 detection by analyzing x-ray images. AURUM Journal of Health Sciences, 4(1), 45-55.
