医学
肥胖
可预测性
机器学习
地球仪
背景(考古学)
多样性(控制论)
人工智能
开放存取发布
数据科学
计算机科学
万维网
统计
病理
数学
古生物学
眼科
生物
作者
Madhumita Mahapatra,Krishna Kumar Singh
标识
DOI:10.1016/j.obmed.2022.100436
摘要
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.
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