Visualisation System of COVID-19 Data in Malaysia

• Main Authors: Rehman Ullah, Khan, NOR SYAZA, SYAMIMI, CLADIA SIMBUT, MAMBANG, IVY, THOMAS, TZI NI, WEE
• Format: Article
• Language: English
• Published: UNIMAS 2021
• Subjects: Q Science (General); T Technology (General)
• Online Access: http://ir.unimas.my/id/eprint/35645/1/Visualisation1.pdf; http://ir.unimas.my/id/eprint/35645/; https://publisher.unimas.my/ojs/index.php/TUR/article/view/3201; https://doi.org/10.33736/tur.3201.2021

Pandemics are highly unlikely events, therefore, we need a system to understand the statistics about the pandamic. Machine learning algorithms can analyse the data and then we can plan for handling the pandamic. To date, many people are suffering because of the lack of reliable information system. T...