期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：90
期号：2
出版社：Journal of Theoretical and Applied
摘要：Diabetes is a chronic disease in which blood sugar levels are too high. It can lead to very dangerous complication such as: heart disease and stroke, and even to complications requiring amputation of one of the parties. In this paper a new model was developed to classify diabetic type 2 treatment plans such as Insulin, medication and diet. These treatment plans could help the diabetic to control the blood glucose level. The model dataset was collected from JABER ABN ABU ALIZ clinic center for diabetes in Sudan. It was about 318 medical records. After conducting comprehensive experiments among data mining algorithms, J48 algorithm was selected to develop the proposed model based on accuracy results. By using WEKA application, the model was implemented. According to the results, the accuracy of the model was 70.8% and all others measures of validation were accepted. Also, the research mentioned that the duration of illness and the age factors were played very important role in specifying an appropriate treatment plans.
关键词：Diabetes type 2; data mining; classification; J48 algorithm
