Prediction of causes and effects of obesity in India by supervise learning approaches

Abstract

Obesity is one of the basic and becomes the most common health problem all over the globe. Indian people are not being untouched by it. Although changes and the vast variety of lifestyles are major causes of the problems related to obesity. In this paper, the researcher collected data from more than 550 Indian subjects on different parameters and tried to understand the predictability of obesity in these subjects with the help of machine learning. Researchers used anaconda orange as a tool to implement machine learning algorithms and tried to predict obesity in the Indian context. A comparison of algorithms was done to see its best fit and the best algorithm would be applied to find the best predictive results. • Obesity is one of the basic and becomes most common health problem all over the globe. • Indian people are not being untouched from it. • Although changes and vast variety of life style are major causes of the problems related to obesity. • In this paper, researcher collected data from more than 550 Indian subjects on different parameters and tried to understand predictability of obesity on these subject with the help of machine learning. • Researchers used anaconda orange as tool to implement machine learning algorithms and tried to predict obesity in Indian context. • A comparison of algorithms was done to see its best fit and best algorithm would be applied to find best predictive results. • So, we can say it's going to be a major health problem in coming days. • The problem will be supplemented by the current Covid 19 pandemic, when kids are limited to house only. • Lots of study in past has proved that BMI & some other clinical parameters are the major parameter to determine prevalence of metabolic & cardiovascular diseases.