Review of Detection of Congestive Heart Failure using Deep Ensemble Technique

One of the main causes of death is a heart attack or heart failure. Which most of the time never unleashes its symptoms before it happens. So the prediction of heart failure in medical science is still a mysterious field. There are many physical parameters that are responsible for heart failure, according to medical science. Some of them are weight, high cholesterol, high blood pressure and many more. Complex event processing (CEP) engines consider most of these physical attributes to predict possibilities of heart failure. In order to learn the prediction scenario, CEP engines find enormous past data. Therefore, supplying huge information to the CEP engines and other deep learning frameworks is difficult most of the time. In this paper, we will propose a good way to predict the heart failure conditions using Fuzzy c-means technique and Logistic regression model. This will empower by Hidden Markov Model and Fuzzy Logic.