Application of machine learning methods for predicting infant mortality in Rwanda: analysis of Rwanda demographic health survey 2014–15 dataset

BACKGROUND: Extensive research on infant mortality (IM) exists in developing countries; however, most of the methods applied thus far relied on conventional regression analyses with limited prediction capability. Advanced of Machine Learning (AML) methods provide accurate prediction of IM; however,...

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Detalles Bibliográficos
Autores principales: Mfateneza, Emmanuel, Rutayisire, Pierre Claver, Biracyaza, Emmanuel, Musafiri, Sanctus, Mpabuka, Willy Gasafari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066935/
https://www.ncbi.nlm.nih.gov/pubmed/35509018
http://dx.doi.org/10.1186/s12884-022-04699-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066935/
https://www.ncbi.nlm.nih.gov/pubmed/35509018
http://dx.doi.org/10.1186/s12884-022-04699-8

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