Citation

Shashidhara S, Mamidi P, Vaidya S, Daral I. J. Interpers. Violence 2023; ePub(ePub): ePub.

Copyright

(Copyright © 2023, SAGE Publishing)

DOI

10.1177/08862605231191187

PMID

37599434

Abstract

Domestic violence, especially intimate partner violence (IPV), is an important issue worldwide, especially in India. Those that experience it may not always be able to come forward or have access to the required social support to act against it. We use National Family Health Survey data (n = 66,013 women) to create machine learning models which can predict IPV instances with a recall of 78%. We use the top 15 best predicting questions that avoid sensitive issues to create a field tool that frontline health workers can use to identify women with a high risk of IPV and provide the support they need.

Language: en

Keywords

domestic violence; perceptions of domestic violence; predicting domestic violence