Machine learning modeling for identifying predictors of unmet need for family planning among married/in-union women in Ethiopia: Evidence from performance monitoring and accountability (PMA) survey 2019 dataset

Unmet need for contraceptives is a public health issue globally that affects maternal and child health. Reducing unmet need reduces the risk of abortion or childbearing by preventing unintended pregnancy. The unmet need for family planning is a frequently used indicator for monitoring family plannin...

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Detalles Bibliográficos
Autores principales: Kebede, Shimels Derso, Mamo, Daniel Niguse, Adem, Jibril Bashir, Semagn, Birhan Ewunu, Walle, Agmasie Damtew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581455/
https://www.ncbi.nlm.nih.gov/pubmed/37847670
http://dx.doi.org/10.1371/journal.pdig.0000345

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581455/
https://www.ncbi.nlm.nih.gov/pubmed/37847670
http://dx.doi.org/10.1371/journal.pdig.0000345

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