UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1907017


Registration ID:
218626

Page Number

124-131

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Title

DATA MINING MODEL FOR PREDICTING TYPE2 DIABETES MELLITUS

Abstract

Diabetes mellitus (DM) is formed as a group of metabolic diseases putting out power into important force on to do with man state of being healthy everywhere on earth. because of, in relation to its as an unbroken stretch increasing taking place, more and more families are effected by diabetes mellitus Most diabetics be clear about little about their state of being healthy quality or the danger factors they face before to diagnosis much operation of making observations in all aspects of diabetes has led to the living-stage of very great amounts of facts. diabetes is taken into account as one of the most deadly and chronic diseases which causes an increase in blood sugar. Many complex conditions take place if diabetes remains attention less and unknown. The tiresome making out process results in being with of a person getting care to a diagnostic inside middle and getting the opinion of science, medical expert. But the go higher in machine learning moves near gets answer to, way out of this full of danger hard question. In this work space, we have offered a scaled-copy based on facts mining techniques for saying what will take place in the future with printing letters 2 diabetes mellitus Here we make a comparison of the doing a play of k-means algorithm and the stores managing regression algorithm artificial neural networks and decision tree models for saying what will take place in the future with diabetes The Pima Indians diabetes knowledge and the WEKA box of helping ways, instruments and the like were put to use to make a comparison of our results with the results from other persons making observations.

Key Words

Data mining, Diabetes mellitus (DM), Disease prediction models, Machine Learning.

Cite This Article

"DATA MINING MODEL FOR PREDICTING TYPE2 DIABETES MELLITUS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.124-131, June 2019, Available :http://www.jetir.org/papers/JETIR1907017.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DATA MINING MODEL FOR PREDICTING TYPE2 DIABETES MELLITUS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp124-131, June 2019, Available at : http://www.jetir.org/papers/JETIR1907017.pdf

Publication Details

Published Paper ID: JETIR1907017
Registration ID: 218626
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 124-131
Country: dindigul, tamilnadu, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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