Paper Key : IRJ************966
Author: Amisha Mehta
Date Published: 24 Oct 2023
Abstract
Diabetes mellitus is among the most dangerous disorders that a large number of individuals suffer from. Numerous causes, such as advanced age, obesity, poor diet, high blood pressure, genetic diabetes, and inactivity, can lead to diabetes mellitus. Diabetes raises a person's risk of heart disease, kidney disease, stroke, nerve damage, vision issues, and other conditions.Hospitals use various tests to diagnose diabetes and treat patients accordingly. Big data analytics are essential in healthcare due to numerous databases. It helps analyze large datasets, uncover hidden patterns, and make accurate predictions. However, current diabetes classification and prediction accuracy are subpar. This study created a better diabetes prediction model by including additional traits beyond standard parameters like age, glucose, BMI, and insulin.