Artificial Intelligence Based Lung Disease Classification By Using Evolutionary Deep Learning Paradigm

 Pattern classification is also called pattern reorganization. The classification of pattern is one of the critical problems in Artificial Intelligence. COVID-19 is the most viral lung disease that has put the whole world in such a difficult situation that it has become necessary to develop a machine-learning algorithm to classify lung disease. This research paper is ready to propose Artificial Intelligence Intelligence-based Lung Disease Classification by using an Evolutionary Deep Learning Paradigm to solve the said problem. It delineates an integrated bioinformatics approach in which different aspects of information from a continuum of structured and unstructured data sources are put together to form user-friendly platforms for physicians and researchers. The main objective of the proposed system is to find the probability, diagnosis, and treatment of the COVID-19 disease. Artificial Neural Network-based tool for challenges is associated with COVID-19. There is some specification of our platform as it includes various forms of input data containing medical as well as clinical data. This helps in improving the performance of the system. Experimental results are calculated and statistically analyzed. For benchmarking, the performance of the proposed approach is compared and statistically analyzed. 

Keywords: Artificial Intelligence, COVID-19, Deep Learning, Lung diseases, Pattern classification problem.