A Research on Predicting Obesity among Childhood using Data Mining Techniques

Abstract

As per recent study, the Journal published that India has the second-largest number of obese kids in the world, with thousands and thousands of cases revealed. After a few decades, the measure of overweight in many countries around the world has tripled, the research finds. Obesity in childhood is accomplices with a large range of serious health conditions and an increased possibility of the immature onset of sickness, including diabetes and heart disease. Data mining usually applied to multiple childhood obesity forecast methods. This paper presents the different techniques of data mining and their advantages and drawbacks etc. The main purpose of this research remains to study these different data mining methods used to predict early-stage childhood obesity and to reduce the risk factor.