期刊名称：Oriental Journal of Computer Science and Technology
印刷版ISSN：0974-6471
出版年度：2012
卷号：5
期号：2
页码：215-221
语种：English
出版社：Oriental Scientific Publishing Company
摘要：Diabetes is not only a disease but also responsible for occurring different kinds of diseases such as heart attack, kidney disease, blindness and renal failure. With respect to Bangladesh, Diabetes is a deadly, disabling and cost disease whose risk is increasing at alarming rate. The diagnosis of diabetes is a vital and tedious task. The detection of diabetes from some important risk factors is a multi-layered problem. Initially 400 diabetes and non-diabetes patients’ data is collected from different diagnostic centre and data is pre-processed. After pre-processing data is clustered using K-means clustering algorithm for identifying relevant and non-relevant data to diabetes. Next significant frequent patterns are discovered using AprioriTid shown in Table 1 and Decision Tree algorithm shown in Table 2. Finally implement a system to predict diabetes which is easier, cost reducible and time saveable.
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