Machine learning algorithms for predicting undernutrition among under-five children in Ethiopia

OBJECTIVE: Child undernutrition is a global public health problem with serious implications. In this study, we estimate predictive algorithms for the determinants of childhood stunting by using various machine learning (ML) algorithms. DESIGN: This study draws on data from the Ethiopian Demographic...

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Detalles Bibliográficos
Autores principales: Bitew, Fikrewold H, Sparks, Corey S, Nyarko, Samuel H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883776/
https://www.ncbi.nlm.nih.gov/pubmed/34620263
http://dx.doi.org/10.1017/S1368980021004262

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883776/
https://www.ncbi.nlm.nih.gov/pubmed/34620263
http://dx.doi.org/10.1017/S1368980021004262

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