Improvement of Time Forecasting Models Using Machine Learning for Future Pandemic Applications Based on COVID-19 Data 2020–2022

Improving forecasts, particularly the accuracy, efficiency, and precision of time-series forecasts, is becoming critical for authorities to predict, monitor, and prevent the spread of the Coronavirus disease. However, the results obtained from the predictive models are imprecise and inefficient beca...

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Detalles Bibliográficos
Autores principales: K Abdul Hamid, Abdul Aziz, Wan Mohamad Nawi, Wan Imanul Aisyah, Lola, Muhamad Safiih, Mustafa, Wan Azani, Abdul Malik, Siti Madhihah, Zakaria, Syerrina, Aruchunan, Elayaraja, Zainuddin, Nurul Hila, Gobithaasan, R.U., Abdullah, Mohd Tajuddin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047172/
https://www.ncbi.nlm.nih.gov/pubmed/36980429
http://dx.doi.org/10.3390/diagnostics13061121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047172/
https://www.ncbi.nlm.nih.gov/pubmed/36980429
http://dx.doi.org/10.3390/diagnostics13061121

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