Cargando…
Application of machine learning to understand child marriage in India
BACKGROUND: Prior research documents that India has the greatest number of girls married as minors of any nation in the world, increasing social and health risks for both these young wives and their children. While the prevalence of child marriage has declined in the nation, more work is needed to a...
Autores principales: | Raj, Anita, Dehingia, Nabamallika, Singh, Abhishek, McDougal, Lotus, McAuley, Julian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732880/ https://www.ncbi.nlm.nih.gov/pubmed/33335970 http://dx.doi.org/10.1016/j.ssmph.2020.100687 |
Ejemplares similares
-
Machine learning analysis of non-marital sexual violence in India
por: Raj, Anita, et al.
Publicado: (2021) -
Opening closed doors: using machine learning to explore factors associated with marital sexual violence in a cross-sectional study from India
por: McDougal, Lotus, et al.
Publicado: (2021) -
Help seeking behavior by women experiencing intimate partner violence in india: A machine learning approach to identifying risk factors
por: Dehingia, Nabamallika, et al.
Publicado: (2022) -
Mapping the patchwork: Exploring the subnational heterogeneity of child marriage in India
por: McDougal, Lotus, et al.
Publicado: (2020) -
Using machine learning to understand determinants of IUD use in India: Analyses of the National Family Health Surveys (NFHS-4)
por: Dey, Arnab K., et al.
Publicado: (2022)