期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：7
页码：14481
DOI：10.15680/IJIRSET.2017.0607266
出版社：S&S Publications
摘要：Data mining applications are necessity in healthcare today, because healthcare sectors have richinformation. Healthcare data includes Patient general data, treatment data, and resource management data. Data Miningcan extract hidden relationships and trends in data can be discovered from the application of data mining techniques. Inthis research, using classification technique of 1024 complete instances of 26 parameter dataset. These datasets arecollected from more peoples from various districts. To increase the efficiency of mining process, some pre-processingneeds to be done to the data. A suitable technique for a particular dataset is chosen based on highest classificationaccuracy and least error rate. This paper aims at finding solution to predict the Diabetes by analyzing the data throughClassification analysis. The research hopes to propose an easy and efficient technique of Prediction of the Diabetespatients.
关键词：Classification; Data Mining; Decision Tree; and; Diabetes.
