slugA Review-Heart Disease Prediction using Data Mining Technique
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 4
Abstract
Heart disease diagnosis is a intricate task which requires much familiarity and knowledge. The old way of predicting Heart disease is doctor’s assessment or number of medical tests such as Heart MRI ,ECG and Stress Test etc. The successful application of data mining in highly visible fields like e-business, marketing and retail has led to its application in other industries and sectors. Among these sectors just discovering is healthcare. The healthcare environment is still “information rich‟ but “knowledge poor‟. There is a bulk of data available within the healthcare systems. However, there is a lack of efficient analysis tools to discover unseen relationships and trends in data. In this research paper, a Heart Disease Prediction system (HDPS) is developed using Neural network. The HDPS system predicts the likelihood of patient getting a Heart disease. For prediction, the system uses sex, blood pressure, cholesterol like 13 medical parameters. Here two more parameters are added i.e. obesity and smoking for better accuracy. From the results obtained, it has been seen that neural network predicts with nearly 100% accuracy.
Authors and Affiliations
Nidhi Sharma, Purushottam Sharma
Keywords
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