Early prediction of COVID-19 infection using data mining and multi machine learning algorithms

Enad, Ahmed Jaddoa; Aksu, Mustafa

doi:10.11591/eei.v13i3.6912

Early prediction of COVID-19 infection using data mining and multi machine learning algorithms

Yazarlar (2)
Ahmed Jaddoa Enad
Mustafa Aksu Ahi Evran Üniversitesi

Devamını Göster

Özet

The fields of artificial intelligence (AI) and machine learning (ML) have attracted significant interest and investment from a diverse range of industries, especially during the last several years. Despite the fact that AI methods have been used extensively and put through extensive testing in the healthcare industry, the recently discovered corona...

Anahtar Kelimeler

Makale Türü	Özgün Makale
Makale Alt Türü	SCOPUS dergilerinde yayımlanan tam makale
Dergi Adı	Bulletin of Electrical Engineering and Informatics
Dergi ISSN	2089-3191 Scopus Dergi
Dergi Tarandığı Indeksler	SCOPUS
Makale Dili	İngilizce
Basım Tarihi	06-2024
Doi Numarası	10.11591/eei.v13i3.6912
Makale Linki	https://doi.org/10.11591/eei.v13i3.6912

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Early prediction of COVID-19 infection using data mining and multi machine learning algorithms

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Early prediction of COVID-19 infection using data mining and multi machine learning algorithms

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