Socioeconomic Risk Factors Associated With Acute Malnutrition Severity Among Under‐Five Children Based on a Machine Learning Approach: The Case of Rural Emergency Contexts in Niger and Mali

ABSTRACT Currently, child acute malnutrition continues to be a serious public health problem, and although its most fatal consequences are well known, its associated factors still need to be studied in more depth in different contexts. The objective of the present study is to determine the associati...

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Detalhes bibliográficos

Principais autores:	Luis Javier Sánchez‐Martínez, Pilar Charle‐Cuéllar, Abdias Ogobara Dougnon, Fanta Toure, Antonio Vargas, Candela Lucía Hernández, Noemí López‐Ejeda
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2025-10-01
coleção:	Maternal and Child Nutrition
Assuntos:	child wasting determinants predictive algorithms random forest undernutrition
Acesso em linha:	https://doi.org/10.1111/mcn.70039
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