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Review Papers | Computer Science & Engineering | India | Volume 4 Issue 6, June 2015

A Closure Looks to Data Mining Techniques for Prediction of Heart Disease

Rajwant Kaur ^[5] | Sukhpreet Kaur ^[5]

Abstract: Data mining techniques have been widely used in medical field for prediction and diagnosis of various diseases. These techniques are very popular and effective to design clinical decision support systems because these have the ability to find out hidden patterns and medical data relations. One of most important application of such systems is diagnoses of Heart Diseases. All over the world, heart disease is one of the common disease leading causes of deaths. Many Medical systems are developed to predict disease on the basis of risk factors such as age, high cholesterol, diabetes, hypertension, family history, tobacco smoking, alcohol intake etc. Researchers have been helping to medical professionals to make Heart Disease prediction systems using data mining techniques. These data mining techniques are used to get accurate and better results. These techniques based systems have been helping medical professional to predict heart diseases, on the basis of risk factors, with good accuracy, high quality of service and without costly medical tests.

Keywords: Heart disease, Neural Network, Risk factors, Genetic Algorithm, Medical system

Edition: Volume 4 Issue 6, June 2015,

Pages: 2929 - 2931

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