Comparative Study for Performance Analysis of Machine Learning Algorithms for Survival of COPD Patients

Major causes of mortality rate vary due to COPD disease rising considerably today due to fast lifestyle. Accurate analysis of cardio data and correct prediction is a major challenge to save lives at an early stage. Using critical data analysis by applying statistical techniques and providing correct features as input to the ML techniques to predict the chances of heart attack and save many lives. Finding overall risk using artificial intelligence techniques and ML algorithms is highly demanding. This paper focuses on the various ML techniques that are applied and their comparative analyses are observed to correctly identify the CVD diseases.