Abstrato

Clinical Decision Support System for Diagnosing Heart Disease

Suchithra, Dr.P.Uma Maheswari

Coronary artery disease (CAD) is the greatest risk for health. It causes the myocardial infarction or cardiogenic sudden death. Therefore, the diagnosis and prevention of the CAD are very worth to study. The purpose of this project is to develop a cost effective treatment using JADE for facilitating database J48 Decision Tree data mining technologies for facilitating data base decision support system. Almost all the hospitals use some hospital management system to manage healthcare in patients. Unfortunately most of the systems rarely use the huge clinical data where vital information is hidden. As these systems create huge amount of data in varied forms but this data is seldom visited and remain untapped. So, in this direction lots of efforts are required to make intelligent decisions. The diagnosis of this disease using different features or symptoms is a complex activity. In this project data mining technologies and agent framework has made an attempt to assist in the diagnosis of the disease in question.