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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Detalles Bibliográficos
Autores principales: Sharin, Siti Nurhidayah, Radzali, Mohamad Khairil, Sani, Muhamad Shirwan Abdullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Inc. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293790/
https://www.ncbi.nlm.nih.gov/pubmed/37520622
http://dx.doi.org/10.1016/j.health.2022.100080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293790/
https://www.ncbi.nlm.nih.gov/pubmed/37520622
http://dx.doi.org/10.1016/j.health.2022.100080

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