Pulmonary Disease Detection by Machine Learning Model Source Code and Document

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One of important part of human life is health and some of information storage provide such valuable data. COVID imparts several lessons to people, and in that scenario, every sector not only becomes affected but also gets upgraded. Technology reduces the load of various sector, but in heath diagnosis is still dependent on medical officers. Load should be reduce by use of some prediction models. This paper has address same issue and proposed a model that identify the pulmonary infection from the X-ray images, without any patient background information. Proposed work extract CCM and DWT feature form the input image for the prediction of infected/non-infected class. Neural network was used for training of extracted features. 

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