Application of machine learning to understand child marriage in India.

ABSTRACT:

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 accelerate this decline and the negative consequences of the practice. Expanded targets for intervention require greater identification of these targets. Machine learning can offer insight into identification of novel factors associated with child marriage that can serve as targets for intervention.

Methods

We applied machine learning methods to retrospective cross-sectional survey data from India on demographics and health, the nationally-representative National Family Health Surve

SUBMITTER: Raj A 

PROVIDER: S-EPMC7732880 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature