ANALYSIS AND CLASSIFICATION OF COPD USING DEEP LEARNING

Abstract: The Chronic Obstructive Pulmonary Disease Prediction System aims to revolutionize early detection and prognosis through the integration of deep learning and health data analysis using dataset that includes X-Ray obtained from a diverse range of patients. Deep learning algorithms are used together with the integration of data gathered from several hospitals. The prediction model identifies patterns in the data that has been gathered and determines early signs of COPD. The COPD aims to mitigate the impact of this chronic respiratory condition. This project carries significant implications for advancing early identification of COPD using Convolutional Neural Networks (CNNs) and aspires to enhance health care efficiency.

Keywords: COPD classification, X-Ray images, CNN, Deep Learning.