Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in Zambia

Stunting is a global public health issue. We sought to train and evaluate machine learning (ML) classification algorithms on the Zambia Demographic Health Survey (ZDHS) dataset to predict stunting among children under the age of five in Zambia. We applied Logistic regression (LR), Random Forest (RF)...

Descripción completa

Detalles Bibliográficos
Autores principales: Chilyabanyama, Obvious Nchimunya, Chilengi, Roma, Simuyandi, Michelo, Chisenga, Caroline C., Chirwa, Masuzyo, Hamusonde, Kalongo, Saroj, Rakesh Kumar, Iqbal, Najeeha Talat, Ngaruye, Innocent, Bosomprah, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320245/
https://www.ncbi.nlm.nih.gov/pubmed/35884066
http://dx.doi.org/10.3390/children9071082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320245/
https://www.ncbi.nlm.nih.gov/pubmed/35884066
http://dx.doi.org/10.3390/children9071082

Ejemplares similares