Clinical decision support system for chronic obstructive pulmonary disease using machine learning techniques

In last two decades, Artificial Intelligence (AI) has become a major tool in every domain in general and medical applications in particular. AI is globally accepted and used for designing medical applications to support medical practitioners in diagnosing and treating patients effectively and efficiently. Chronic Obstructive Pulmonary Disease (COPD) is a kind of obstructive lung disease. Patients suffering from COPD makes breathing uneasy. COPD's incidence of sickness and death rates are rising and it is now the fourth leading cause of death globally. In this paper, we are discussing need for Clinical Decision Support System (CDSS) for COPD which helps the physicians to provide better and effective diagnosis and treatment strategies. In addition, we have designed a CDSS for COPD which is discussed in detail in this paper. The CDSS encompasses Machine Learning techniques like Classifier Ensemble methods, Support Vector Machine, Neural Networks, and Decision Trees.