SUGAR SENSE: MACHINE LEARNING FOR PREDICTING DIABETES RISKS

  • Unique Paper ID: 164374
  • Volume: 10
  • Issue: 12
  • PageNo: 506-509
  • Abstract:
  • Diabetes is a prevalent health concern affecting individuals worldwide. Identifying the risk factors associated with diabetes and predicting its onset can significantly improve preventive interventions and management strategies. In this paper, we explore the application of machine learning techniques to predict diabetes risk using everyday language and accessible concepts.

Copyright & License

Copyright © 2025 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{164374,
        author = {CH.SAI SIVA DURGA and S V V LAKSHMAN KUMAR and J PRASANNA ANJANEYULU and Y CHETAN and DWARAKALAL},
        title = {SUGAR SENSE: MACHINE LEARNING FOR PREDICTING DIABETES RISKS},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {506-509},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164374},
        abstract = {Diabetes is a prevalent health concern affecting individuals worldwide. Identifying the risk factors associated with diabetes and predicting its onset can significantly improve preventive interventions and management strategies. In this paper, we explore the application of machine learning techniques to predict diabetes risk using everyday language and accessible concepts. },
        keywords = {},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 12
  • PageNo: 506-509

SUGAR SENSE: MACHINE LEARNING FOR PREDICTING DIABETES RISKS

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