Kobra Khoshraftar (Master student of Computer Engineering, Software Engineering, Islamic Azad University of Chalous, Mazandaran, Iran)
Ali Vahid Roudsari (Graduated Master of Information Technology, Computer Networks, University of Guilan, Rasht, Guilan, Iran)
Saba Omidfar (Master student of Computer Engineering, Software Engineering, Ghaem Technology Of Higher Education)
Parichehr Turkmen (Master student of Computer Engineering,, Iran University of Science and Technology)
Abstarct:
Data mining has been played an important role in the intelligent medical systems. Data mining has revealed novel biomedical and healthcare acquaintances for clinical decision making that has great potential to improve the treatment quality of hospitals and increase the survival rate of patients. Disease diagnosis is one of the applications where data mining tools are establishing the successful results. There is a wealth of data available in healthcare but there is no effective analysis tool to discover hidden relationships in data. Although millions of people die of heart disease annually, application of data mining techniques in heart disease diagnosis seems to be essential. Discovered Knowledge can help physicians in diagnosis of heart disease. In this paper, we consider a comprehensive review of data mining issue in the medical field and Data mining application in the diagnosis and treatment of heart disease.
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