A network analysis and support vector regression approaches for visualising and predicting the COVID-19 outbreak in Malaysia

A network analysis and support vector regression approaches for visualising and predicting the COVID-19 outbreak in Malaysia

This study aims to (1) correlate and visualise the Coronavirus disease 19 (COVID-19) pandemic spread via Spearman rank coefficients of network analysis (NA) and (2) predict the cumulative number of COVID-19 confirmed and death cases via support vector regression (SVR) based on COVID-19 dataset in Ma...

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Bibliographic Details
Main Authors: Siti Nurhidayah Sharin, Mohamad Khairil Radzali, Muhamad Shirwan Abdullah Sani
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Healthcare Analytics
Subjects:
Coronavirus
COVID-19
Network analysis
Support vector regression
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442522000338

Internet

http://www.sciencedirect.com/science/article/pii/S2772442522000338

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