Data Mining in Clinical Decision Support Systems for Diagnosis, Prediction and Treatment of Heart Disease
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 1
Abstract
Medical errors are both costly and harmful. Medical errors cause thousands of deaths worldwide each year. A clinical decision support system (CDSS) offers opportunities to reduce medical errors as well as to improve patient safety. One of the most important applications of such systems is in diagnosis and treatment of heart diseases (HD) because statistics have shown that heart disease is one of the leading causes of deaths all over the world. Data mining techniques have been very effective in designing clinical support systems because o f its ability discover hidden patterns and relationships in medical data. This paper compares the performance and working of six CDSS systems which use different data mining techniques for heart disease prediction and diagnosis. This paper also finds out that there is no system to identify treatment options for HD patients.
Authors and Affiliations
Syed Umar Amin , Kavita Agarwal , Dr. Rizwan Beg,
Keywords
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