Review on Heart Disease Prediction System using Data Mining Techniques

摘要: Data mining is the computer based process of analyzing enormous sets data and then extracting meaning data. tools predict future trends, allowing business to make proactive, knowledge-driven decisions. can answer questions that traditionally taken much time consuming resolve. The huge amounts generated for prediction heart disease are too complex voluminous be processed analyzed by traditional methods. provides methodology technology transform these mounds into useful information decision making. By using techniques it takes less with more accuracy. In this paper we survey different papers in which one or algorithms used disease. Result from neural networks nearly 100% (10) (6). So algorithm given efficient results. Applying treatment provide as reliable performance achieved diagnosing Cholesterol: - abnormal levels lipids (fats) blood risk factor diseases. Cholesterol a soft, waxy substance found among bloodstream all body's cells. High level triglyceride (most common type fat body) combined high LDL (low density lipoprotein) cholesterol speed up atherosclerosis increasing pressure: pressure also known HBP hypertension widely misunderstood medical condition. increase walls our vessels becoming overstretched injured. Also having attack stroke developing failure, kidney failure peripheral vascular