Comparative analysis for the prediction of various lungs diseases through chest x-ray images

The sudden outburst of COVID – 19 (Also known as NOVEL CARONA VIRUS) started from country CHINAand from there it had given a massive tremor to the whole world in the form of Health, Economic or Social Issues. For Decision making in Hospitals, we first need to identify the actual disease of patients and then start their medications according to the defined disease. To get the actual reading, we have focused on Radiography Lungs images and through that, we are predicting whether the particular person is suffering from COVID-19, LUNG OPACITY, or PNEUMONIA. As these diseases have common symptoms like High Fever, cold, etc. so there is a major need to identify those diseases. For the Prediction, various algorithms have been used like Neural Network, Logistic Regression, Naïve Bayes, Decision Tree, and Ada-Boost. The tool used for the prediction of these diseases is ORANGE TOOL. The GUI interface of ORANGEmakes it easy to use various Algorithms just by dragging different Algorithm icons into the main window. And then just passing it to different widgets such as prediction, Test and Score, etc. to get appropriate results. As these Diseases can spread widely, we need to identify those diseases sooner and start the medications in the more efficient and effective way possible.