Predicting the Probability of Covid-19 Recovered in South Asian Countries Based on Healthy Diet Pattern Using a Machine Learning Approach

摘要

Recently a global terror has taken place around all over the world named of COVID-19 disease. The main cause of this disease is SARS-CoV-2 virus. A huge number of population of the world is losing lives daily for this terrible virus. But in the global survey for this disease we found that the people also getting recovered from this frightening disease. The most important thing that works behind the recovery against this virus is the immunity power of human body. Immunity power is not same for all human body. Immunity power of human depends on the food habit of them. In this research we will try to determine the probability of COVID-19 recovered in South Asian Countries based on healthy diet pattern using data mining and various machine learning algorithms. We have used Random Forest, Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) are the several machine learning algorithms to predict the recovery rate of Covid-19 affecting patients.