Abstract

The Healthcare industry generally clinical diagnosis is done mostly by doctor’s expertise and experience. Computer Aided Decision Support System plays a major role in medical field. Data mining techniques and machine learning algorithms play a very important role in this area. The researchers accelerating their research works to develop a software with the help machine learning algorithm which can help doctors to take decision regarding both prediction and diagnosing of heart disease. The main objective of this research paper is predicting the heart disease of a patient using machine learning algorithms. Initially the dataset is preprocessed and feature selection has been implemented for efficient data selection. Once data selection is done SVM classifier is implemented to detect whether the particular patient is affected by heart disease or not in accurate way. In addition to this the parameters used for heart disease prediction is also analyzed to extract the information if any parameter has high value than threshold level will be notified. Therefore in our proposed system for the heart disease predicted persons a general suggestion will be generated based on their information. Hence our system predicts heart disease in accurate way and providing suggestion to particular patient in efficient way.