Post-Vaccination Risk Prediction of COVID-19: Machine Learning Approach

COVID-19 warns everyone of the fact that viral infection can be serious and even lethal. Prior to the COVID-19 epidemic, people paid no attention to slight fevers, sore throats, or sneezing. With the passage of time, people were persuaded of the fatality rate and forced to limit themselves to their own homes. However, the discovery of vaccinations and double dosages energized individuals to frequent workplaces, banks, stores, marketplaces, and so on for the sake of need. Although developing a vaccine is a tough undertaking owing to the unique characteristics of the COVID-19 virus, it is difficult to promise that a vaccination will give complete protection against infection. As a result, the post-vaccination risk for COVID-19 is always present. The goal of this work is to predict the post-vaccination risk of COVID 19 illness using machine learning approaches and real datasets. This research will also show that a small number of vaccinated persons get infected with COVID-19 illness. As a result, it is also indicated that if a few issues persist for more than 2 days, a doctor should be sought for proper care.