Hybrid PSO-Naive Bayes Algorithm Based COVID-19 Prediction Model

A COVID-19 prediction model is proposed in this paper that combines two algorithms for the purpose of feature selection and three other algorithms to enhance classification accuracy and performance. Other prediction models rely either on a single or a combinational approach to diagnostic algorithms or use a limited set of features; hence the proposed model is engineered to provide a higher accuracy prediction rate from a comparative perspective since it brings together the strengths of multiple algorithms.