Prevalence of malnutrition and associated factors in Chinese children and adolescents aged 3–14 years using machine learning algorithms

We have identified eight contributory factors for malnutrition in 3-14-year-old children and adolescents in Beijing and Tangshan, with their prediction performance optimal under random forest. More studies among independent populations are warranted to validate our findings.

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Publication Details

Journal
Journal of Global Health
Published
2025-07-21
DOI
https://doi.org/10.7189/jogh.15.04204
Citations
1
Primary Topic
Child Nutrition and Water Access
Type
article
Field-Weighted Citation Impact
1.12
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article

Prevalence of malnutrition and associated factors in Chinese children and adolescents aged 3–14 years using machine learning algorithms

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1 citations
Journal of Global Health
Child Nutrition and Water Access
1.12
article

Prevalence of malnutrition and associated factors in Chinese children and adolescents aged 3–14 years using machine learning algorithms

Kening Chen, Wenquan Niu, Qiong Wang, Xiaoqian Zhang, Zhixin Zhang, Fangjieyi Zheng
article en
1 citations

Abstract

We have identified eight contributory factors for malnutrition in 3-14-year-old children and adolescents in Beijing and Tangshan, with their prediction performance optimal under random forest. More studies among independent populations are warranted to validate our findings.

Journal of Global HealthVol. 15
Beijing University of Chinese Medicine (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), China-Japan Friendship Hospital (CN), Capital Institute of Pediatrics (CN)
Zero hunger
Openalex Percentile: Top 22%
Child Nutrition and Water Access
1.12
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