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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

Year 2022, Volume: 4 Issue: 1, 45 - 55, 26.04.2022

Abstract

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.

References

  • 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.
  • 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).
  • 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.
  • 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.
  • 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.
  • Farooq, M., A. Hafeez, “COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs”, ArXiv:2003.14395, 2020.
  • Gao, Z. Zeng, X. Wang, J. Liu, J., 2008. FPGA implementation of adaptive IIR filters with particle swarm optimization algorithm. Communication Systems.
  • 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.
  • Karim A.M., Mishra A. (2022) Novel COVID-19 Recognition Framework Based on Conic Functions Classifier. In: Garg L., Chakraborty C., Mahmoudi S., Sohmen V.S. (eds) Healthcare Informatics for Fighting COVID-19 and Future Epidemics. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-72752-9_1.
  • Li, Q., X. Guan, P. Wu, X. Wang, L. Zhou, Y. Tong et al., “Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia”. The New England Journal of Medicine. 2020.
  • Li, X., D. Zhu, “COVID-Xpert: An AI Powered Population Screening of COVID-19 Cases Using Chest Radiography Images”. ArXiv:200403042 2020:1–6.
  • Yin, A.Y., R.G. Wunderink, “MERS, SARS and Other Coronaviruses as Causes of Pneumonia”, Respirology, 23 (2018), pp. 130-137).
  • Wang, D., B. Hu, C. Hu, F. Zhu, X. Liu, J. Zhang et al., “Clinical Characteristics of 138 Hospitalized Patients with 2019 Novel Coronavirus-Infected Pneumonia in Wuhan”, China. Jama - 2020.
Year 2022, Volume: 4 Issue: 1, 45 - 55, 26.04.2022

Abstract

References

  • 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.
  • 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).
  • 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.
  • 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.
  • 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.
  • Farooq, M., A. Hafeez, “COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs”, ArXiv:2003.14395, 2020.
  • Gao, Z. Zeng, X. Wang, J. Liu, J., 2008. FPGA implementation of adaptive IIR filters with particle swarm optimization algorithm. Communication Systems.
  • 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.
  • Karim A.M., Mishra A. (2022) Novel COVID-19 Recognition Framework Based on Conic Functions Classifier. In: Garg L., Chakraborty C., Mahmoudi S., Sohmen V.S. (eds) Healthcare Informatics for Fighting COVID-19 and Future Epidemics. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-72752-9_1.
  • Li, Q., X. Guan, P. Wu, X. Wang, L. Zhou, Y. Tong et al., “Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia”. The New England Journal of Medicine. 2020.
  • Li, X., D. Zhu, “COVID-Xpert: An AI Powered Population Screening of COVID-19 Cases Using Chest Radiography Images”. ArXiv:200403042 2020:1–6.
  • Yin, A.Y., R.G. Wunderink, “MERS, SARS and Other Coronaviruses as Causes of Pneumonia”, Respirology, 23 (2018), pp. 130-137).
  • Wang, D., B. Hu, C. Hu, F. Zhu, X. Liu, J. Zhang et al., “Clinical Characteristics of 138 Hospitalized Patients with 2019 Novel Coronavirus-Infected Pneumonia in Wuhan”, China. Jama - 2020.
There are 13 citations in total.

Details

Primary Language Turkish
Subjects Biomedical Engineering
Journal Section Research Article
Authors

Karam Mohammed Dawood This is me 0000-0002-0596-2546

Publication Date April 26, 2022
Acceptance Date April 26, 2022
Published in Issue Year 2022 Volume: 4 Issue: 1

Cite

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.