Machine Learning Approaches for Tackling Novel Coronavirus (COVID-19) Pandemic

Mohammad Marufur Rahman; Md Milon Islam; Md Motaleb Hossen Manik; Md Rabiul Islam; Mabrook S Al-Rakhami

doi:10.1007/s42979-021-00774-7

Machine Learning Approaches for Tackling Novel Coronavirus (COVID-19) Pandemic

SN Comput Sci. 2021;2(5):384. doi: 10.1007/s42979-021-00774-7. Epub 2021 Jul 19.

Authors

Mohammad Marufur Rahman¹, Md Milon Islam¹, Md Motaleb Hossen Manik¹, Md Rabiul Islam², Mabrook S Al-Rakhami³

Affiliations

¹ Department of Computer Science and Engineering, Khulna University of Engineering and Technology, Khulna, 9203 Bangladesh.
² Department of Electrical and Electronic Engineering, Bangladesh Army University of Engineering and Technology, Natore, 6431 Bangladesh.
³ Research Chair of Pervasive and Mobile Computing, Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh, 11543 Saudi Arabia.

Abstract

Novel coronavirus (COVID-19) has become a global problem in recent times due to the rapid spread of this disease. Almost all the countries of the world have been affected by this pandemic that made a major consequence on the medical system and healthcare facilities. The healthcare system is going through a critical time because of the COVID-19 pandemic. Modern technologies such as deep learning, machine learning, and data science are contributing to fight COVID-19. The paper aims to highlight the role of machine learning approaches in this pandemic situation. We searched for the latest literature regarding machine learning approaches for COVID-19 from various sources like IEEE Xplore, PubMed, Google Scholar, Research Gate, and Scopus. Then, we analyzed this literature and described them throughout the study. In this study, we noticed four different applications of machine learning methods to combat COVID-19. These applications are trying to contribute in various aspects like helping physicians to make confident decisions, policymakers to take fruitful decisions, and identifying potentially infected people. The major challenges of existing systems with possible future trends are outlined in this paper. The researchers are coming with various technologies using machine learning techniques to face the COVID-19 pandemic. These techniques are serving the healthcare system in a great deal. We recommend that machine learning can be a useful tool for proper analyzing, screening, tracking, forecasting, and predicting the characteristics and trends of COVID-19.

Keywords: COVID-19; Forecasting; Machine learning; Novel coronavirus; Prediction.

Publication types

Review