Survey Data Mining in a Diabetes Patient Database using WEKA Tool

Authors

  • Shivani Patel  Research Scholar, Computer Science and Information Technology, Madhav University, Pindwara (Sirohi) Rajasthan, India
  • Sanjay Chaudhary  Research Supervisor, Computer Science And Information Technology, Madhav University, Pindwara (Sirohi) Rajasthan, India
  • Prakashsingh Tanwar  Research Supervisor, Computer Science And Information Technology, Madhav University, Pindwara (Sirohi) Rajasthan, India

Keywords:

Diabetes database, Machine Learning, Classification, Evaluation, Weka Toolkit

Abstract

Data mining tools play a significant role in the healthcare sector. As medical records systems become more standardized, data quantity increases with much of it going unanalyzed. Taking into account the prevalence of diabetes the study is aimed at finding out the characteristics that determine the presence of diabetes. In this research, WEKA an open-source data mining tool is used for the analysis of diabetes database. Classification techniques are applied to classify the data and the data is evaluated using 10-fold cross validation and the results are compared.

References

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International Journal of Scientific Research in Science and Technology

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Published

2020-12-30

Issue

Volume 5, Issue 8, November-December-2020

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

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

How to Cite

[1]
Shivani Patel, Sanjay Chaudhary, Prakashsingh Tanwar "Survey Data Mining in a Diabetes Patient Database using WEKA Tool" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 5, Issue 8, pp.354-359, November-December-2020.