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Analysis the use of machine learning algorithm-based methods in predicting COVID-19 infection

Author:

Yiming FeiAuthors Info & Claims

ISAIMS '21: Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences

Pages 88 - 94

https://doi.org/10.1145/3500931.3500948

Published: 22 December 2021 Publication History

Abstract

The world's first COVID-19 infection was confirmed in 2019, and the virus has since spread rapidly around the world, with more than 200 million people infected worldwide and almost 4 million fatalities by August 2021. Therefore, it is important to study an accurate prediction model for COVID-19 infection, this is critical in order to maximize available resources and halt or reduce this illness. In this paper, we will analyze the use of machine learning algorithms in predicting COVID-19 based on existing research and compare the performance of different machine learning algorithms to conclude a more precise prediction model for COVID-19.

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Cited By

Gorantla VSriramulugari SMewada AGupta KKiruthiga T(2023)The smart computation of multi-organ spreading analysis of COVID-19 using fuzzy based logical controller2023 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC)10.1109/TEMSCON-ASPAC59527.2023.10531499(1-7)Online publication date: 14-Dec-2023
https://doi.org/10.1109/TEMSCON-ASPAC59527.2023.10531499

Index Terms

Analysis the use of machine learning algorithm-based methods in predicting COVID-19 infection
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems

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Graphical abstract

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Highlights
- This paper is a survey of the Machine Learning (ML) research done against COVID-19.
Abstract
COVID-19 was first discovered in December 2019 and has continued to rapidly spread across countries worldwide infecting thousands and millions of people. The virus is deadly, and people who are suffering from prior illnesses or are ...

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ISAIMS '21: Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences

October 2021

593 pages

ISBN:9781450395588

DOI:10.1145/3500931

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 December 2021

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ISAIMS 2021

ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences

October 29 - 31, 2021

Beijing, China

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Cited By

Gorantla VSriramulugari SMewada AGupta KKiruthiga T(2023)The smart computation of multi-organ spreading analysis of COVID-19 using fuzzy based logical controller2023 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC)10.1109/TEMSCON-ASPAC59527.2023.10531499(1-7)Online publication date: 14-Dec-2023
https://doi.org/10.1109/TEMSCON-ASPAC59527.2023.10531499

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