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AI based Automated Diagnosis of COVID-19 Patients

by Sudip Mandal, Shankhalika Mallick, Arkaprava Roy, Arghyadip Paul
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 9
Year of Publication: 2022
Authors: Sudip Mandal, Shankhalika Mallick, Arkaprava Roy, Arghyadip Paul
10.5120/ijca2022922020

Sudip Mandal, Shankhalika Mallick, Arkaprava Roy, Arghyadip Paul . AI based Automated Diagnosis of COVID-19 Patients. International Journal of Computer Applications. 184, 9 ( Apr 2022), 7-12. DOI=10.5120/ijca2022922020

@article{ 10.5120/ijca2022922020,
author = { Sudip Mandal, Shankhalika Mallick, Arkaprava Roy, Arghyadip Paul },
title = { AI based Automated Diagnosis of COVID-19 Patients },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2022 },
volume = { 184 },
number = { 9 },
month = { Apr },
year = { 2022 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number9/32355-2022922020/ },
doi = { 10.5120/ijca2022922020 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:21:01.486034+05:30
%A Sudip Mandal
%A Shankhalika Mallick
%A Arkaprava Roy
%A Arghyadip Paul
%T AI based Automated Diagnosis of COVID-19 Patients
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 9
%P 7-12
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The recent Corona Virus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests. Effective screening of SARS-CoV-2 enables quick and efficient diagnosis of COVID-19 and can mitigate the burden on healthcare systems. In this study, a satisfactory accurate automated diagnosis model of COVID-19 based on patient symptoms has been proposed by applying several Artificial Intelligence (AI) models. For training, COVID-19 data has been collected from Israeli Ministry of Health publicly released data. We have used Artificial Neural Network and Decision Tree for classification or prediction purpose. The proposed model predicted COVID-19 test results with satisfactory accuracy. Hence, this AI based diagnostic framework can be used, among other considerations, to prioritize testing for COVID-19 when testing resources are limited.

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Index Terms

Computer Science
Information Sciences

Keywords

COVID-19 Artificial Intelligence (AI) Artificial Neural Network (ANN) Decision Tree Automated Disease Diagnosis Classification

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