Araştırma Makalesi

A NEW METHOD BASED CNN COMBINED WITH GENETIC ALGORITHM AND SUPPORT VECTOR MACHINE FOR COVID-19 DETECTION BY ANALYZING X-RAY IMAGES

Cilt: 4 Sayı: 1 26 Nisan 2022
  • Karam Mohammed Dawood
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A NEW METHOD BASED CNN COMBINED WITH GENETIC ALGORITHM AND SUPPORT VECTOR MACHINE FOR COVID-19 DETECTION BY ANALYZING X-RAY IMAGES

Öz

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.

Anahtar Kelimeler

Kaynakça

  1. Afshar, P., S. Heidarian, F. Naderkhani, A. Oikonomou, K.N. Plataniotis, A. Mohammadi et al., “-Caps: A Capsule Network-Based Framework for Identification of COVID- 19 Cases from X-Ray Images”. ArXiv Prepr ArXiv200402696 2020:1–4.
  2. Batık, Z., G. Atalı, D. Karayel, and S. S. Özkan, “Using heuristic distance functions in path planning of mobile robots,” Electronics World, pp. 34–36, Oct. 2018. World Health Organization (WHO) - https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (accessed at Feb 24, 2020).
  3. Chen, N., M. Zhou, X. Dong, J. Qu, F. Gong, Y. Han et al., “Epidemiological and Clinical Characteristics of 99 cases of 2019 Novel Coronavirus Pneumonia in Wuhan, China: A Descriptive Study”. Lancet - 2020, 10.1016/S0140-6736(20)30211-7.
  4. Chowdhury, M.E.H., T. Rahman, A. Khandakar, R. Mazhar, M.A. Kadir, Z.B. Mahbub et al., “Can AI Help in Screening Viral and COVID-19 Pneumonia?” ArXiv 200313145 2020.
  5. Diprose J, MacDonald B, Hosking J, Plimmer B. Designing an API at an appropriate abstraction level for programming social robot applications. J. Vis. Lang. Comput., 2017;39,22–40.
  6. Farooq, M., A. Hafeez, “COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs”, ArXiv:2003.14395, 2020.
  7. Gao, Z. Zeng, X. Wang, J. Liu, J., 2008. FPGA implementation of adaptive IIR filters with particle swarm optimization algorithm. Communication Systems.
  8. Huang, C., Y. Wang, X. Li, L. Ren, J. Zhao, Y. Hu et al., “Clinical Features of Patients Infected with 2019 Novel Coronavirus in Wuhan”, China. Lancet - 2020.

Ayrıntılar

Birincil Dil

Türkçe

Konular

Biyomedikal Mühendisliği

Bölüm

Araştırma Makalesi

Yazarlar

Karam Mohammed Dawood Bu kişi benim
0000-0002-0596-2546
Türkiye

Yayımlanma Tarihi

26 Nisan 2022

Gönderilme Tarihi

21 Nisan 2022

Kabul Tarihi

26 Nisan 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 4 Sayı: 1

Kaynak Göster

APA
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. https://izlik.org/JA55JX78LW
AMA
1.Dawood KM. 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. 2022;4(1):45-55. https://izlik.org/JA55JX78LW
Chicago
Dawood, Karam Mohammed. 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. https://izlik.org/JA55JX78LW.
EndNote
Dawood KM (01 Nisan 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.
IEEE
[1]K. M. Dawood, “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, c. 4, sy 1, ss. 45–55, Nis. 2022, [çevrimiçi]. Erişim adresi: https://izlik.org/JA55JX78LW
ISNAD
Dawood, Karam Mohammed. “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 (01 Nisan 2022): 45-55. https://izlik.org/JA55JX78LW.
JAMA
1.Dawood KM. 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. 2022;4:45–55.
MLA
Dawood, Karam Mohammed. “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, c. 4, sy 1, Nisan 2022, ss. 45-55, https://izlik.org/JA55JX78LW.
Vancouver
1.Karam Mohammed Dawood. 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 [Internet]. 01 Nisan 2022;4(1):45-5. Erişim adresi: https://izlik.org/JA55JX78LW