A SURVEY PAPER ON EARLY DIAGNOSIS OFCARDIO-VASCULAR DISEASE USING DATA MINING AND NEURAL NETWORK

Cardiovascular diseases are major cause of humanity and death-rate in modern civilization. Medical assessment of these diseases is very important but the tortuous task should be performed efficiently and accurately. In this era of computing and intelligence it is an easy but complicated task to estimate the probability of disease on the basis of data and fact provided to the system. With the growing research it has become important to categories the research outcomes and provides readers with an overview of the existing heart disease prediction techniques in each category. The data mining algorithms are typically used to recognize the disease that occurs in original form the database. Neural Networks is a data mining analytical tools that is used to make prediction for medical data. In this paper, we present a survey report on the use of data mining algorithms & techniques and Neural Network Learning for the detection of Cardiovascular Disease.