A survey on various prediction model for Chronic Obstructive Pulmonary Disease (COPD)

In today's world data analytics is an evolving technology and it is used worldwide. To be more precise the data is highly employed in medical field for the identification and prediction of disease. Predictive analysis is a branch of advanced analytics which is used to make predictions about unknown factors. Predictive analytics uses various techniques like data mining statistics, machine learning and decision algorithms to predict about the future. Nowadays, COPD (Chronic Obstructive Pulmonary Disease) is becoming the leading respiratory death causing disease being fatal in human beings. Our focus is to analyze the various techniques and methods used in the prediction of COPD. Outcome of this analysis brings the key challenges which are not yet addressed in predicting COPD in an efficient manner.