Using Machine Learning to Fight Child Acute Malnutrition and Predict Weight Gain During Outpatient Treatment with a Simplified Combined Protocol.

Background/Objectives: Child acute malnutrition is a global public health problem, affecting 45 million children under 5 years of age. The World Health Organization recommends monitoring weight gain weekly as an indicator of the correct treatment. However, simplified protocols that do not record the...

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Publicado en:	Nutrients Vol. 16; no. 23; pp. 4213 - 4226
Autores principales:	Sánchez-Martínez, Luis Javier, Charle-Cuéllar, Pilar, Gado, Abdoul Aziz, Ousmane, Nassirou, Hernández, Candela Lucía, López-Ejeda, Noemí
Formato:	research tables/charts Journal Article
Publicado:	MDPI Dec2024
Acceso en línea:	Ver este registro en EBSCOhost