A Review Paper on Prediction of Diabetic Retinopathy using Data Mining Techniques

  • Unique Paper ID: 144652
  • PageNo: 292-297
  • Abstract:
  • One of the major problem diabetic patients suffers from is the Diabetic Retinopathy and blindness. Since the number of diabetes patients is continuously increasing, this results in increase in the data as well. Hence to extract the useful information and unseen knowledge, use of data mining (DM) techniques become necessary. DM plays an important role in DR as this can be beneficial for the better health of the society. There are many techniques and algorithms that help to diagnose DR in retinal fundus images. This paper reviews, classifies and compares the algorithms and techniques previously proposed in order to develop better and more effective algorithms.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{144652,
        author = {Pooja Rathi and Dr. Anurag Sharma},
        title = {A Review Paper on Prediction of Diabetic Retinopathy using Data Mining Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {1},
        pages = {292-297},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144652},
        abstract = {One of the major problem diabetic patients suffers from is the Diabetic Retinopathy and blindness. Since the number of diabetes patients is continuously increasing, this results in increase in the data as well. Hence to extract the useful information and unseen knowledge, use of data mining (DM) techniques become necessary. DM plays an important role in DR as this can be beneficial for the better health of the society. There are many techniques and algorithms that help to diagnose DR in retinal fundus images. This paper reviews, classifies and compares the algorithms and techniques previously proposed in order to develop better and more effective algorithms.},
        keywords = {Diabetic Retinopathy, Data mining techniques, Retinal blood vessels, Exudates },
        month = {},
        }

Cite This Article

Rathi, P., & Sharma, D. A. (). A Review Paper on Prediction of Diabetic Retinopathy using Data Mining Techniques. International Journal of Innovative Research in Technology (IJIRT), 4(1), 292–297.

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