Improvement of time forecasting models using machine learning for future pandemic applications based on COVID-19 data 2020-2022

• Main Authors: Abdul Hamid, Abdul Aziz K., 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
• Format: Article
• Published: MDPI 2023
• Subjects: RA Public aspects of medicine
• Online Access: http://eprints.um.edu.my/38496/
• Institution: Universiti Malaya

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...