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Predictive Analytics in Diabetes using oneR Classification Algorithm

Published on June 2018 by K. B. Priya Iyer, K. Pavithra, D. Nivetha, K. Kumudhavarshini
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International Conference on Communication, Computing and Information Technology
Foundation of Computer Science USA
ICCCMIT2017 - Number 1
June 2018
Authors: K. B. Priya Iyer, K. Pavithra, D. Nivetha, K. Kumudhavarshini
37c4792b-cab9-4e9a-8172-f8cfa99d0e10

K. B. Priya Iyer, K. Pavithra, D. Nivetha, K. Kumudhavarshini . Predictive Analytics in Diabetes using oneR Classification Algorithm. International Conference on Communication, Computing and Information Technology. ICCCMIT2017, 1 (June 2018), 14-19.

@article{
author = { K. B. Priya Iyer, K. Pavithra, D. Nivetha, K. Kumudhavarshini },
title = { Predictive Analytics in Diabetes using oneR Classification Algorithm },
journal = { International Conference on Communication, Computing and Information Technology },
issue_date = { June 2018 },
volume = { ICCCMIT2017 },
number = { 1 },
month = { June },
year = { 2018 },
issn = 0975-8887,
pages = { 14-19 },
numpages = 6,
url = { /proceedings/icccmit2017/number1/29478-1718/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Communication, Computing and Information Technology
%A K. B. Priya Iyer
%A K. Pavithra
%A D. Nivetha
%A K. Kumudhavarshini
%T Predictive Analytics in Diabetes using oneR Classification Algorithm
%J International Conference on Communication, Computing and Information Technology
%@ 0975-8887
%V ICCCMIT2017
%N 1
%P 14-19
%D 2018
%I International Journal of Computer Applications
Abstract

Data mining is becoming one of the most important tool and means for discovering useful, realistic and essential interpretations and patterns in real world scenario. The discovery of knowledge from medical datasets is crucial in order to make effective medical diagnosis. This paper helps in predicting diabetes by applying the data mining technique called oneR rule. In this paper, oneR rule in classification has been used to predict a person whether diabetic or not. The dataset which had been collected contains the information of persons with and without diabetes. Software used is Weka tool for the experiment and analysis. oneR algorithm is applied on the dataset of persons collected. Results have been obtained. The accuracy is calculated as 80. 43 % which is high for predicting whether the person has diabetes or not.

References
  1. Mukeshkumari, Dr. Rajanvohra And Anshularora, "Prediction Of Diabetes Using Bayesian Network", Mukeshkumari Et Al, / (Ijcsit) International Journal Of Computer Science And Information Technologies, Vol. 5 (4) , 2014, 5174-5178.
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  5. Yang Guo , Guohuabai , Yan Hu School Of Computing Blekinge Institute Of Technology Karlskrona, Sweden, "Using Bayes Network For Prediction Of Type-2 Diabetes".
  6. Beckles Gla, Thompson-Reid Pe, Editors. Diabetes And Women's Health Across The Life Stages: A Public Health Perspective. Atlanta: U. S. Department Of Health And Human Services, Centers For Disease Control And Prevention, National Center For Chronic Disease Prevention And Health Promotion.
  7. Jiawei Han, Michelinekamber, Jian Pei, "Data Mining Concepts And Techniques" Third Edition.
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Diabetes Weka Oner Classification.