Hybrid predicting model for Coronary heart disease risk using Data mining and multilayer Perceptron

Abstract

The diagnosis of coronary heart disease is a vital and an intricate task newlinein medical specialty which is closely tied to lifestyle related behaviors The newlinegrouping of symptoms with medical reports to diagnose the Coronary Heart newlineDisease CHD risk requires much experience and knowledge For diagnosis newlinethe physician has to consider many causes for a patient over a long period of newlinetime which leads to voluminous data To predict the nature of the patient, data newlinemining is applied as a tool It is concerned with the computational process of newlineextracting undiscovered knowledge and precious information represented in newlinemodels and patterns from large databases The correct and in timely diagnosis newlineis very important to save the life of the patients. newline newline