Factors associated with underweight, overweight, and obesity in Chinese children aged 3-14 years using ensemble learning algorithms.

Journal: Journal of global health

PMID: 39913538

Abstract

BACKGROUND: Factors underlying the development of childhood underweight, overweight, and obesity are not fully understood. Traditional models have drawbacks in handling large-scale, high-dimensional, and nonlinear data. In this study, we aimed to identify factors responsible for underweight, overweight, and obesity using machine learning methods among Chinese children.

Authors

Kening Chen

China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Fangjieyi Zheng

Center for Evidence-Based Medicine, Capital Institute of Pediatrics, Beijing, China.
Xiaoqian Zhang

Department of Stomatology, Haiyuan College of Kunming Medical University, Kunming, China.
Qiong Wang

Beijing Meiling Biotechnology Corporation, Beijing, 102600, PR China.
Zhixin Zhang

School of Mathematics Sciences, Anhui University, Hefei 230601, China.
Wenquan Niu

Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing 100029, China. Electronic address: niuwenquan_shcn@163.com.

Keywords

Adolescent Algorithms Body Mass Index Child Child, Preschool China East Asian People Ensemble Learning Female Humans Machine Learning Male Overweight Pediatric Obesity Risk Factors Thinness

External Resources

View on PubMed Access via DOI PubMed (39913538)

Factors associated with underweight, overweight, and obesity in Chinese children aged 3-14 years using ensemble learning algorithms.

Abstract

Authors

Keywords

External Resources

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