Deep learning algorithms for COVID 19 data analytics

Abstract

Covid-19 is a viral disease that affects the humans very fastly where by the death rate also increasing day by day. Recently a vaccine for COVID-19 is identified and being used by a particular age of people. There are different types of tests are being used to identify whether a person is having a corona or not. Mainly, the lung is being affected by people and unable to breath continuously. For diagnosing lunge related problems, Chest x-ray and chest CT imaging techniques are widely used. Various researches are being conducted to identify corona virus by using chest X ray images. Still, a substantial chest x-ray is a lower cost process in comparison to chest CT. Deep Learning techniques are being applied for analyzing a large amount of chest x-ray images which could screen the COVID-19.This paper analysis the various deep learning techniques applied for identifying corona virus symptoms using chest x ray images. Convolutional Neural Network algorithm has achieved 95% accuracy for analyzing COVID 19 and Normal patients. © 2021 Karadeniz Technical University. All rights reserved.