Infectious Disease Prediction Model Using Deep Learning Approaches

Abstract

One of the most common social problems faced worldwide at present is the spread of infectious diseases which has created personal damage for individuals and society. Many researchers are focusing on predicting the rate of spread of infectious diseases to minimize social losses. The premium goal of the study is to design a novel prediction model to identifythe spreading rate of infectious diseases in society that establishes a high-performance model with the use of different input variables and popular deep learning techniques. It also suggests three types of deep learning models to predict diseases. The accuracy and performance of the suggested model are examined with the available public dataset and the observations are compared for results. The whole system isimplemented with the help of Python programming.