A Survey of the Application of Artifical Intellegence on COVID-19 Diagnosis and Prediction

Authors

  • H. Alalawi Computer Science Department, College of Computer and Information Systems, Umm Al-Qura University, Saudi Arabia
  • M. Alsuwat Computer Science Department, College of Computer and Information Systems, Umm Al-Qura University, Saudi Arabia
  • H. Alhakami College of Computer and Information Systems, Umm Al Qura University, Saudi Arabia
Volume: 11 | Issue: 6 | Pages: 7824-7835 | December 2021 | https://doi.org/10.48084/etasr.4503

Received: 18 September 2021 | Revised: 7 October 2021 | Accepted: 15 October 2021 | Online: 11 December 2021


Corresponding author: H. Alalawi

Abstract

The importance of classification algorithms has increased in recent years. Classification is a branch of supervised learning with the goal of predicting class labels categorical of new cases. Additionally, with Coronavirus (COVID-19) propagation since 2019, the world still faces a great challenge in defeating COVID-19 even with modern methods and technologies. This paper gives an overview of classification algorithms to provide the readers with an understanding of the concept of the state-of-the-art classification algorithms and their applications used in the COVID-19 diagnosis and detection. It also describes some of the research published on classification algorithms, the existing gaps in the research, and future research directions. This article encourages both academics and machine learning learners to further strengthen the basis of classification methods.

Keywords:

Artificial Intelligence, Machine Learning, Deep Learning, Classification Algorithms, COVID-19, Medical image Introduction

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[1]
H. Alalawi, M. Alsuwat, and H. Alhakami, “A Survey of the Application of Artifical Intellegence on COVID-19 Diagnosis and Prediction”, Eng. Technol. Appl. Sci. Res., vol. 11, no. 6, pp. 7824–7835, Dec. 2021.

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