Nature-inspired solution for coronavirus disease detection and its impact on existing healthcare systems

https://doi.org/10.1016/j.compeleceng.2021.107411Get rights and content

Abstract

Coronavirus is an infectious life-threatening disease and is mainly transmitted through infected person coughs, sneezes, or exhales. This disease is a global challenge that demands advanced solutions to address multiple dimensions of this pandemic for health and wellbeing.  Different types of medical and technological-based solutions have been proposed to control and treat COVID-19. Machine learning is one of the technologies used in Magnetic Resonance Imaging (MRI) classification whereas nature-inspired algorithms are also adopted for image optimization. In this paper, we combined the machine learning and nature-inspired algorithm for brain MRI images of COVID-19 patients namely Machine Learning and Nature Inspired Model for Coronavirus (MLNI-COVID-19). This model improves the MRI image classification and optimization for better diagnosis. This model will improve the overall performance especially the area of brain images that is neglected due to the unavailability of the dataset. COVID-19 has a serious impact on the patient brain. The proposed model will help to improve the diagnosis process for better medical decisions and performance. The proposed model is evaluated with existing algorithms and achieved better performance in terms of sensitivity, specificity, and accuracy.

Keywords

Coronavirus
Disease
Nature inspired solutions
Healthcare
Systems
Challenges
Technologies

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Kashif Naseer Qureshi received a Ph.D. degree from the University of Technology Malaysia (UTM) in 2016. He is currently working as an Associate Professor with Bahria University, Islamabad. His research interest focuses on Information Security and cybersecurity in smart city areas.

Adi Alhudhaif is an assistant professor at the Prince Sattam Bin Abdulaziz University. He earned his Ph.D. degree in computer science in the field of Information security and Big Data from George Washington University.

Maria Ahmed Qureshi is a medical doctor with a specialization in public health from Quaid-e-Azam University Pakistan and Griffith University Australia. She is currently undertaking a fellowship at the University of Catania in Living Systematic Reviews.

Gwanggil Jeon received the B.S., M.S., and Ph.D. degrees from Hanyang University (2008). He was with University of Ottawa as a Postdoctoral Fellow, Niigata University as an Assistant Professor, Università degli Studi di Milano Statale as a Prestigious Visiting Professor. He is a Full Professor at Incheon National University, Incheon, Korea.

This paper is for special section VSI-bioc. Reviews processed and recommended for publication by Guest Editor Dr. Xiaochun Cheng.

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