Risk factor analysis of COVID-19 with CART model

Abstract

COVID-19 pandemic is presenting a great need for understanding the symptoms of people affected by the disease. The main objective of this work is implementation of CART methodology to determine the symptoms associated with COVID-19 disease. The decision tree demonstrates the classification route for detecting significant risk factors of COVID-19. The findings in this work will be helpful for medical decision makers and public health to prevent the spread of COVID-19.