Implementation of Data Mining Algorithms for Diabetes Prediction

Authors(5) :-Shradhda S. Chindage, Rohini M. Rajmane, Shravani S. Shinde, Shweta S. Gundale, Uday B. Mane

The process of analyzing different aspects of data and aggregating it into useful information is called data mining. The goal is to provide meaningful and useful information for the users about the diabetes. With the rise of information technology and its continued advent into the medical and healthcare sector, the cases of diabetes as well as their symptoms are well documented. This research project aims at finding solutions to diagnose the disease by analyzing the patterns found in the data through classification analysis by employing Decision Tree and Naïve Bayes algorithms. The monitoring module analyzes the laboratory test reports of the blood sugar levels of the patient and provides proper awareness messages to the patient through mail and bar chart.

Authors and Affiliations

Shradhda S. Chindage
Computer Science & Engineering, Shivaji University/Sanjay Ghodawat Institute, Atigre/ Kolhapur, Maharashtra, India
Rohini M. Rajmane
Computer Science & Engineering, Shivaji University/Sanjay Ghodawat Institute, Atigre/ Kolhapur, Maharashtra, India
Shravani S. Shinde
Computer Science & Engineering, Shivaji University/Sanjay Ghodawat Institute, Atigre/ Kolhapur, Maharashtra, India
Shweta S. Gundale
Computer Science & Engineering, Shivaji University/Sanjay Ghodawat Institute, Atigre/ Kolhapur, Maharashtra, India
Uday B. Mane
Computer Science & Engineering, Shivaji University/Sanjay Ghodawat Institute, Atigre/ Kolhapur, Maharashtra, India

Classification, Data Mining, Decision Tree, Diabetes and Naïve Bayes.

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 553-560
Manuscript Number : CSEIT1833107
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Shradhda S. Chindage, Rohini M. Rajmane, Shravani S. Shinde, Shweta S. Gundale, Uday B. Mane, "Implementation of Data Mining Algorithms for Diabetes Prediction", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.553-560, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833107

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