SUGAR SENSE: MACHINE LEARNING FOR PREDICTING DIABETES RISKS
Author(s):
CH.SAI SIVA DURGA, S V V LAKSHMAN KUMAR, J PRASANNA ANJANEYULU, Y CHETAN, DWARAKALAL
Keywords:
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.
Article Details
Unique Paper ID: 164374
Publication Volume & Issue: Volume 10, Issue 12
Page(s): 506 - 509
Article Preview & Download
Share This Article
Join our RMS
Conference Alert
NCSEM 2024
National Conference on Sustainable Engineering and Management - 2024