Review on Heart Disease Diagnosis Based on Data Mining Techniques

The availability of huge amount of data leads to the need of powerful data analysis tool to extract useful knowledge. To manage data analysis on large data sets researchers have long been concerned with statistical and data mining tools. Disease diagnosis is one of the major applications where data mining tools are showing successful results. Heart disease is the major cause of the death all over the world in the last few years. Many researchers are using different data mining tools to help professionals in the diagnosis of heart disease. Using single data mining technique in heart disease diagnosis has been showing great levels of accuracy. In the past few time researchers have been investigating the effect of hybridizing more than one technique showing better result in the diagnosis of heart disease. In this paper the neural network is trained with selected significant pattern for the diagnosis of heart disease and Genetic Algorithm has been used and applied for optimizing the neural network.