Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models

BACKGROUND: For optimal health, the maternal, newborn, and child healthcare (MNCH) continuum necessitates that the mother/child receive the full package of antenatal, intrapartum, and postnatal care. In sub-Saharan Africa, dropping out from the MNCH continuum remains a challenge. Using machine learn...

Descripción completa

Detalles Bibliográficos
Autores principales: Mlandu, Chenai, Matsena-Zingoni, Zvifadzo, Musenge, Eustasius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518924/
https://www.ncbi.nlm.nih.gov/pubmed/37749542
http://dx.doi.org/10.1186/s12911-023-02305-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518924/
https://www.ncbi.nlm.nih.gov/pubmed/37749542
http://dx.doi.org/10.1186/s12911-023-02305-1

Ejemplares similares