Predicting Adverse Reaction of COVID-19 Vaccine with the Help of Machine Learning

ABSTRACT

The COVID-19 epidemic demonstrated the importance of technology in the healthcare sector. A lack of ventilators and essential drugs results in a high mortality rate. The most important lesson from the pandemic is that we must use all available resources to alleviate the situation during the pandemic. In this paper, we combine pharmacovigilance and machine learning to predict the effect of an adverse reaction on a patient. We take VAERS data and preprocess it before feeding it to various machine learning algorithms. We assess our model using various parameters. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.