Heart Disease Diagnosis System Based On Data Mining And Neural Network

Data mining techniques have been commonly in the clinical decision support system for prediction and diagnosis of various diseases with good accuracy. One of the most important applications of such system is in diagnosis of heart diseases because it is one of the leading causes of the deaths all over the world. Heart disease diagnosis is a compound task which requires both experience and knowledge. The traditional way of predicting heart diseases are ECG, Heart MRI etc. Nowadays the healthcare industry collects huge amount of healthcare data which, unfortunately, are not “mined” to discover hidden information for effective decision making. Advanced data mining techniques can help to solve this situation. Hence this paper presents a technique for diagnosis of heart diseases using heart rate data set. These techniques are neural network and swarm intelligence optimization. In this paper Swarm Intelligence Optimization i.e. Genetic Algorithm has been used and applied for optimizing the Neural Network.