文章基本信息

标题：Diabetes Diagnosis by Using Computational Intelligence Algorithms
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作者：Najmeh Hosseinpour ; Saeed Setayeshi ; Karim Ansari-asl 等
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：12
出版社：S.S. Mishra
摘要：Diabetes mellitus is a chronic disease and one of the most public health challenges in world wide. Most of discoveries indicate that the best way to overcome diabetes is to prevent the risks of di abetes before becoming a diabetic. With this idea, we would like to find a way to estimate diabetes risk. Data mining techniques could be used as an alternative way in discovering knowledge from the patient medical records and they have shown remarkable success in the area of applying Computer Aided Diagnostic (CAD) systems. In this paper, we have applied several intelligence classifiers such as Bayesian, Functional, Rule-base, Decision Trees and Ensemble for diagnosing diabetes mellitus. Experimental results on Pima Indian Diabetes (PID) dataset show that Bagging ensemble classifier with Logistic core has better performance in comparison with other presented classifiers
关键词：Diabetes mellitus; Machine learning; Classifier; Pima Indian Diabetes (PID