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.
@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
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry