Diagnosis Prediction Model for COVID-19

ABSTRACT

In worldwide COVID-19 makes a threat against humans. The new strain of the COVID-19 virus has not been previously identified in humans.The first case in Wuhan, China and now it has spread over the world. In India, 11.2 million people were infected and 158k people dead. In this situation, we need fact and accurate methods and techniques which can identify or predict the disease at the earliest. Machine learning techniques can greatly contribute to this. This model using Machine learning techniques like SVM-RFE and XGBoost for the prediction of COVID-19 disease.Experimentation results show that this method can fastly predict disease with better accuracy. © 2021 IEEE.