Machine Learning Algorithms Application in COVID-19 Disease: A Systematic Literature Review and Future Directions

Machine Learning Algorithms Application in COVID-19 Disease: A Systematic Literature Review and Future Directions

Since November 2019, the COVID-19 Pandemic produced by Severe Acute Respiratory Syndrome Severe Coronavirus 2 (hereafter COVID-19) has caused approximately seven million deaths globally. Several studies have been conducted using technological tools to prevent infection, to prevent spread, to detect,...

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Bibliographic Details
Main Authors: Dixon Salcedo, Cesar Guerrero, Khalid Saeed, Johan Mardini, Liliana Calderon-Benavides, Carlos Henriquez, Andres Mendoza
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
COVID-19
machine learning
prediction algorithms
mortality prediction
Online Access:https://www.mdpi.com/2079-9292/11/23/4015

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https://www.mdpi.com/2079-9292/11/23/4015

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