Prediction Models for Early Childhood Obesity: Applicability and Existing Issues
نویسندگان
چکیده
منابع مشابه
Machine Learning Techniques for Prediction of Early Childhood Obesity.
OBJECTIVES This paper aims to predict childhood obesity after age two, using only data collected prior to the second birthday by a clinical decision support system called CHICA. METHODS Analyses of six different machine learning methods: RandomTree, RandomForest, J48, ID3, Naïve Bayes, and Bayes trained on CHICA data show that an accurate, sensitive model can be created. RESULTS Of the meth...
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Introduction: Obesity is a major health problem, and the physical and interpersonal limitations associated with it lead to significant psychological distress. Childhood injuries can play a role in the formation of early maladaptive schemas self-compassion and obesity in adulthood. The aim of the present study is to determine the role of childhood trauma on obesity through the mediation of early...
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OBJECTIVES Our aim with this study was to assist clinicians by estimating the predictive value of earlier levels of BMI status on later risk of overweight and obesity during the middle childhood and early adolescent years. METHODS We present growth data from the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development, a longitudinal sample of 1...
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Although the effects of obesity on children's physical health are well documented, the social consequences of obesity are less well described and may not be addressed in intervention programs. Weight bias may take several forms. It may result in teasing and discrimination and may affect employment and educational opportunities. Health care providers may limit care of overweight or obese childre...
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ژورنال
عنوان ژورنال: Hormone Research in Paediatrics
سال: 2018
ISSN: 1663-2818,1663-2826
DOI: 10.1159/000496563