Implementation of Data Mining Algorithms for Diabetes Prediction

Authors

  • 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

Keywords:

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

Abstract

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shradhda S. Chindage, Rohini M. Rajmane, Shravani S. Shinde, Shweta S. Gundale, Uday B. Mane, " Implementation of Data Mining Algorithms for Diabetes Prediction, IInternational 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.