DeveLopment of ensemble machine learning model to improve covid-19 outbreak forecasting
Joint Authors
al-Ruhayli, Miad
Asiri, Fatimah
Source
Jordanian Journal of Computetrs and Information Technology
Issue
Vol. 8, Issue 2 (30 Jun. 2022), pp.159-169, 11 p.
Publisher
Princess Sumaya University for Technology
Publication Date
2022-06-30
Country of Publication
Jordan
No. of Pages
11
Main Subjects
Pharmacy, Health & Medical Sciences
Abstract EN
The world is currently facing the coronavirus disease 2019 (COVID-19 pandemic).
Forecasting the progression of that pandemic is integral to planning the necessary next steps by governments and organizations.
Recent studies have examined the factors that may impact COVID-19 forecasting and others have built models for predicting the numbers of active cases, recovered cases and deaths.
The aim of this study was to improve the forecasting predictions by developing an ensemble machine-learning model that can be utilized in addition to the Naïve Bayes classifier, which is one of the simplest and fastest probabilistic classifiers.
The first ensemble model combined gradient boosting and random forest classifiers and the second combined support vector machine and random- forest classifiers.
The numbers of confirmed, recovered and death cases will be predicted for a period of 10 days.
The results will be compared to the findings of previous studies.
The results showed that the ensemble algorithm that combined gradient boosting and random-forest classifiers achieved the best performance, with 99% accuracy in all cases.
American Psychological Association (APA)
al-Ruhayli, Miad& Asiri, Fatimah. 2022. DeveLopment of ensemble machine learning model to improve covid-19 outbreak forecasting. Jordanian Journal of Computetrs and Information Technology،Vol. 8, no. 2, pp.159-169.
https://search.emarefa.net/detail/BIM-1415666
Modern Language Association (MLA)
al-Ruhayli, Miad& Asiri, Fatimah. DeveLopment of ensemble machine learning model to improve covid-19 outbreak forecasting. Jordanian Journal of Computetrs and Information Technology Vol. 8, no. 2 (Jun. 2022), pp.159-169.
https://search.emarefa.net/detail/BIM-1415666
American Medical Association (AMA)
al-Ruhayli, Miad& Asiri, Fatimah. DeveLopment of ensemble machine learning model to improve covid-19 outbreak forecasting. Jordanian Journal of Computetrs and Information Technology. 2022. Vol. 8, no. 2, pp.159-169.
https://search.emarefa.net/detail/BIM-1415666
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 168-169
Record ID
BIM-1415666