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Feasibility of a screening tool for obesity diagnosis in Mexican children from a vulnerable community of Me'Phaa ethnicity in the State of Guerrero, Mexico

机译:在墨西哥州格雷罗州的弱势社区中撒尿的肥胖儿童肥胖诊断的筛选工具的可行性

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Mexico ranks first in the world in childhood obesity, and second in obesity in adults. Although there are several health promotion programs, some vulnerable communities are still in a high risk for increasing the prevalence of childhood overweight and obesity. The aim of this study was to determine the feasibility to develop an automatic screening tool for obesity diagnosis in a vulnerable community in the State of Guerrero, in Mexico, using anthropometric variables and a machine learning approach. Results show that presented classifiers exhibit a high capacity to assess either a child is overweight, or not, yielding a high confidence tool for obesity screening.
机译:墨西哥在童年肥胖的世界中排名第一,并在成年人的肥胖中排名第二。虽然有几个健康促进计划,但一些脆弱的社区仍然具有高风险,以增加儿童时期超重和肥胖的普遍性。本研究的目的是确定使用人类测量变量和机器学习方法在Guerrero状态下,在墨西哥的弱势社区中开发肥胖诊断的自动筛选工具的可行性。结果表明,所提出的分类器表现出高容量来评估儿童超重,或者不会产生高肥胖筛选的高置信工具。

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