Published Paper Details:

In the year 2020, a novel corona virus has emerged as a very pandemic disease which affects the public health throughout the world. It has become necessary to screen large number people to identify the infected ones and reduce the spread of disease. A real time PCR (polymerise chain reaction) is a standard tool for diagnosis for pathological testing. There are failure cases for this tool as it gives more false test results which make path to look for alternate tool. Chest x-rays is a better alternative for PCR for COVID-19 screening. Even though some patients are really infected but not tested positive with reports. The individual, who is tested false, unknowingly transmits the disease to others. With false results, it becomes difficult to stop the spreading of the disease. Chest X-rays proved to a better alternative with its high sensitivity. But here accuracy of results matters a lot .Here a diagnosis recommender system for examining lung images is proposed which can assist the doctors and reduce the burden over them. Deep neural network technique CNN (convolution neural network) is used for achieving best accuracy results.