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
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