A Study on SARS-CoV-2 (COVID-19) and Machine Learning Based Approach to Detect COVID-19 through X-Ray Images

From origin in Wuhan city of China, a highly communicable and deadly virus is spreading in the entire world and is known as COVID-19 COVID-19 is a new species of coronavirus which is affecting respiratory system of human The virus is known as severe acute respiratory syndrome (SARS) coronavirus 2 abbreviated as SARS-CoV-2 and generally known as coronavirus disease COVID-19 This is growing day by day in countries The symptoms include fever, cough and difficulty in breathing As there is no vaccine made for this virus and COVID-19 tests are not readily available, this is causing panic Various Artificial Intelligence-based algorithms and frameworks are being developed to detect this virus, but it has not been tested People are taking advantages of others by providing duplicate COVID-19 test kits A work is carried out with deep learning to detect presence of COVID 19 With the use of Convolutional Neural networks, the model is trained with dataset of COVID-19 positive and negative X-Rays The accuracy of training model is 99% and the confusion matrix shows 98% values that are predicted truly Hence, the model is able to detect the presence of COVID-19 © 2021 World Scientific Publishing Company