Predicting COVID-19 Cases in South Korea with All K-Edited Nearest Neighbors Noise Filter and Machine Learning Techniques

Predicting COVID-19 Cases in South Korea with All K-Edited Nearest Neighbors Noise Filter and Machine Learning Techniques

The application of machine learning techniques to the epidemiology of COVID-19 is a necessary measure that can be exploited to curtail the further spread of this endemic. Conventional techniques used to determine the epidemiology of COVID-19 are slow and costly, and data are scarce. We investigate t...

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Bibliographic Details
Main Authors: David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra, Robertas Damaševičius
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Information
Subjects:
healthcare data mining
COVID-19 case prediction
noise filtering
machine learning
data mining
predictive analytics
Online Access:https://www.mdpi.com/2078-2489/12/12/528

Internet

https://www.mdpi.com/2078-2489/12/12/528

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