Survey on Data mining Algorithm used for Heart Disease Prediction

Data mining is one of the richest areas of research that is more popular in health organizations. Data mining plays an effective role for uncovering new trends in healthcare organization which is helpful for all the parties associated with this field. Heart disease is the leading cause of death in the world over the past 10 years. Heart disease is a term that assigns to a large number of medical conditions related to heart. These medical conditions describe the irregular health condition that directly affects the heart and all its parts. The healthcare industry gathers enormous amount of heart disease data which are not “mined” to discover hidden information for effective decision making. Data mining techniques are useful for analyzing the data from many different dimensions and for identifying relationships. This paper explores the utility of various decision tree and neural network algorithms to classify and predict the disease.

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