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Data Mining Approach to Analyze COVID-19 Dataset of Mexican Patients

by Waheeda Almayyan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 29
Year of Publication: 2021
Authors: Waheeda Almayyan
10.5120/ijca2021921217

Waheeda Almayyan . Data Mining Approach to Analyze COVID-19 Dataset of Mexican Patients. International Journal of Computer Applications. 174, 29 ( Apr 2021), 30-40. DOI=10.5120/ijca2021921217

@article{ 10.5120/ijca2021921217,
author = { Waheeda Almayyan },
title = { Data Mining Approach to Analyze COVID-19 Dataset of Mexican Patients },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2021 },
volume = { 174 },
number = { 29 },
month = { Apr },
year = { 2021 },
issn = { 0975-8887 },
pages = { 30-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number29/31863-2021921217/ },
doi = { 10.5120/ijca2021921217 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:23:26.798027+05:30
%A Waheeda Almayyan
%T Data Mining Approach to Analyze COVID-19 Dataset of Mexican Patients
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 29
%P 30-40
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The pandemic originated by coronavirus (COVID-19), force governments to choosing different health policies to stop the infection and inspire many research groups to work on patient’s data to understand the virus behaviour. This research suggests a two-phase prediction system with several learning algorithms to explore the COVID-19 dataset, where Chi-square is employed at the first stage. Cuckoo search and Grey Wolf Optimiser approaches have been proposed in the second stage to inherit their advantages to select the most distinctive features. The proposed classification model is trained and tested with six machine learning algorithms. The proposed model resulted in 96.5% of Accuracy with samples of 95839 patients with several incomplete data.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Chi-square feature selection Grey Wolf Optimiser Cuckoo search COVID-19

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