Help seeking behavior by women experiencing intimate partner violence in india: A machine learning approach to identifying risk factors.

ABSTRACT:

Background

Despite the low prevalence of help-seeking behavior among victims of intimate partner violence (IPV) in India, quantitative evidence on risk factors, is limited. We use a previously validated exploratory approach, to examine correlates of help-seeking from anyone (e.g. family, friends, police, doctor etc.), as well as help-seeking from any formal sources.

Methods

We used data from a nationally-representative health survey conducted in 2015-16 in India, and included all variables in the dataset (~6000 variables) as independent variables. Two machine learning (ML) models were used- L-1, and L-2 regularized logistic regression models. The results from these models were qualitatively coded by researchers to identify broad themes associated with help-seeking behavior.

SUBMITTER: Dehingia N 

PROVIDER: S-EPMC8813002 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature