An ensemble machine learning approach for predicting anemia among under-five children in malaria-endemic sub-Saharan African countries

Abstract Background Worldwide, anemia in children under-five is a major public health issue, particularly in sub-Saharan Africa. Sub-Saharan Africa also has the highest burden of malaria. This study aimed to develop an ensemble machine learning model to estimate anemia burden and potential predictor...

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Detalhes bibliográficos

Principais autores:	Berhan Tekeba, Nebebe Demis Baykemagn, Alexander Takele Mengesha, Melaku Alelign Mengstie
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-07-01
coleção:	Infectious Diseases of Poverty
Assuntos:	Anemia Malaria Sub-Saharan Africa Malaria endemic Machine-learning Predictors
Acesso em linha:	https://doi.org/10.1186/s40249-026-01461-6
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