General Approach of Prediction of Diabetes Mellitus using Top-K and MOPNAR Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
Today’s world is the digital world all the people are surrounded with the electronic or digital gadgets. Due to this the life style of people is getting change; the individual work is replaced by the electronic gadgets, and from that lot of diseases are caused, in between these diseases some are very usual like sugar, hypertension, blood pressure etc. And some are very dangerous but these usual diseases are not so easy to identify and easy to recover. In this paper we are focusing on the diabetes mellitus diseases which are very common but its effect are very on the human body. The aim of this paper is early detection of diabetes because if such diseases are early detected then it is very easy to diagnosis and it helps patients for the early recovery, for that in this paper the data mining technique are used on the diabetic patients dataset and then applying the mining algorithm for identifying the diabetic patients the algorithms such as TOPK and MOPNAR for early detection of diabetes.
Authors and Affiliations
Yogita S. Wanjari, Prof. Gaurav Y. Kawade
Keywords
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- EP ID EP23801
- DOI http://doi.org/10.22214/ijraset.2017.4094
- Views 301
- Downloads 6
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