Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

Data Mining Models Comparison for Diabetes Prediction

Author 1: Amina Azrar Author 2: Yasir Ali Author 3: Muhammad Awais Author 4: Khurram Zaheer
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 8 · Published 2018 · Cited by 63

DOI: https://doi.org/10.14569/IJACSA.2018.090841

Download PDF Cite Call for Papers

Abstract

From the past few years, data mining got a lot of attention for extracting information from large datasets to find patterns and to establish relationships to solve problems. Well known data mining algorithms include classification, association, Naïve Bayes, clustering and decision tree. In medical science field, these algorithms help to predict a disease at early stage for future diagnosis. Diabetes mellitus is the most growing disease that needs to be predicted at its early stage as it is lifelong disease and there is no cure for it. This research is intended to provide comparison for different data mining algorithms on PID dataset for early prediction of diabetes.

Keywords

Diabetes data mining classification decision tree Naïve Bayes KNN

How to Cite this Article

Azrar, A., Ali, Y., Awais, M., & Zaheer, K. (2018). Data Mining Models Comparison for Diabetes Prediction. International Journal of Advanced Computer Science and Applications, 9(8). https://doi.org/10.14569/IJACSA.2018.090841

Azrar, Amina, et al.. "Data Mining Models Comparison for Diabetes Prediction." International Journal of Advanced Computer Science and Applications, vol. 9, no. 8, 2018, https://doi.org/10.14569/IJACSA.2018.090841.

@article{Azrar2018,
  title     = {Data Mining Models Comparison for Diabetes Prediction},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {8},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Amina Azrar and Yasir Ali and Muhammad Awais and Khurram Zaheer},
  doi       = {10.14569/IJACSA.2018.090841},
  url       = {https://doi.org/10.14569/IJACSA.2018.090841}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA