Application of big data analytics in healthcare system to predict COPD

Big data is one of the latest technologies that have the potential for radically changing the way organizations use information to enhance the customer experience and transform their business models. The healthcare industry has been handling large amounts of data and is largely driven by compliance, regulatory requirements, record keeping and similar aspects of patient care. The goal is to introduce Healthcare analysts and practitioners to the advancements in the computing field to effectively handle data and make inferences from large and heterogeneous healthcare data. Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of morbidity and mortality worldwide, and results in an economic and social burden that is both substantial and increasing. This research investigates using Data mining application of big data, applying Decision Tree technique for better performance in COPD diagnosis in individual patient. The centralized clinical data repository contains patient's details with reference to unique aadhaar number, which helps to know about the treatments taken by the each patient in different hospitals and doctor treated. The experimental results show a promising accuracy in diagnosing COPD patient and efficiency of the proposed system.