A comparative analysis of chronic obstructive pulmonary disease using machine learning, and deep learning

<span lang="EN-US">Chronic obstructive pulmonary disease (COPD) is a general clinical issue in numerous countries considered the fifth reason for inability and third mortality on global scale within 2021. From recent reviews, deep convolutional neural network (CNN) used primary analysis of deadly COPD, which uses computed tomography (CT) images procured from learning tools. Detection COPD using several image processing techniques, models, machine models are notable contributions to this review. This research aims cover detailed findings diseases or lung diseases, their causes, symptoms, will help treat infections with high performance swift response. The articles selected have more than 80% accuracy tabulated analyzed sensitivity, specificity, area under curve (AUC) different methodologies. focuses various tools techniques eventually provides an overview coronavirus 2019 (COVID-19) symptoms. </span>