Implementation of Hybrid Prediction Model for Covid19 Using Machine Learning

Abstract

Abstract: Due to the increase in the number of patients who died as a result of the COVID-19 virus around the world, researchers are working tirelessly to find technological solutions to help doctors in their daily work. Quick and correct computing (AI) techniques are required to help doctors in their decisions to predict the severity and mortality risk of a patient. Early prediction of patient severity would facilitate in saving hospital resources and reduce the continual death of patients by providing early medication actions. Currently, X-ray pictures are used as early symptoms in detecting COVID-19 patients. Therefore, in this research, a prediction model has been built to predict different levels of severity risks for the COVID-19 patient based on X-ray images by applying hybrid machine learning approach which predict the COVID-19 disease. In this research first the features are extracted with the help of GLCM algorithm. Then in first approach the COVID-19 disease get predicted with the help of SVM and CNN algorithm. In second approach the COVID-19 disease get predicted by combining SVM and CNN algorithm. Keywords: machine learning; prediction model; COVID-19; CNN; Hybrid Approach;