A REVIEW ON PREDICTION OF DIABETES USING VARIOUS TECHNIQUES IN HEALTHCARE
Miss Vaishali G. Mohature
Department of computer science and engineering SSGMCE, Shegaon, India , IN
Keywords: Diabetes, Prediction, Naïve Bayes, Decision tree, SVM, Classification, and Dataset.
Abstract
Now a days, there are many applications are used for searching results on web. In this system we predicting diabetes by applying data mining technique. Data mining is the process of discovering interesting pattern and large amount of data. The main aim of this project is to build a basic decision support system which can determine and exact previously unseen patterns, relation and concepts related with multiple disease data mining is an engineering study of extracting previously undiscovered patterns from a selected set of data. Data set used is Pima Indian diabetes dataset, which collects the information of person with and without diabetes. Data mining is one of the fastest growing field in the health care industries. Using data mining method to aid people to predict diabetes disease has gain major popularity.
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