A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones

BACKGROUND: Undernutrition is the main cause of child death in developing countries. This paper aimed to explore the efficacy of machine learning (ML) approaches in predicting under-five undernutrition in Ethiopian administrative zones and to identify the most important predictors. METHOD: The study...

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Detalles Bibliográficos
Autores principales: Fenta, Haile Mekonnen, Zewotir, Temesgen, Muluneh, Essey Kebede
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542294/
https://www.ncbi.nlm.nih.gov/pubmed/34689769
http://dx.doi.org/10.1186/s12911-021-01652-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542294/
https://www.ncbi.nlm.nih.gov/pubmed/34689769
http://dx.doi.org/10.1186/s12911-021-01652-1

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