Prediction of COVID-19 using machine learning techniques

In Dec. 2019, Hubei, China, was the first place where infected cases of coronavirus disease-2019 (COVID-19) were found. Over 214 countries and regions worldwide have been affected by the COVID-19 pandemic and have shaped every aspect of our daily lives. Despite these increases at the stage of composition, the incidence rate with dirty flow has increased, and there is no very controlled situation, for example, a cumulative total of 3,754,253 (265,415) COVID-19 deaths have been registered worldwide since Apr. 2020. This chapter emphasizes the importance of reacting to the COVID-19 epidemic and predicting its significant effects through late progress and the use of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in different areas. We summarize information provided by AI, ML, and DL and then separate the applications for combating COVID-19; finally, we predict COVID-19 using ML models. This chapter provides the experts and networks of people with knowledge about how AI, ML, and DL are developing COVID-19 and contributes to research to stop the COVID-19 epidemic.