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Patient hep is keys to successfully managing heart diseases and to helping the patients to maintain quality of life. In recent years, with data mining techniques has been extracted important hidden information through clinical data, so these methods confect beneficial information for medical research and health centers. So it will be making a comer designs using hospital information is required fold add influence of clinical centers and hospitals. This paper suppose a decision support model able to help a physician as well as a health care system manage this heart failure population and describes the work on medical data mining and gives useful information about data mining. Finally, the case study is modelled by Neural Network (NN). Training data collects of 40 patients clinical records in health center search about heart problems in persons. The results show that our NN model generates correctly predictions for 85% of test cases.