Using Machine Learning Prediction to Create a 15-question IPV Measurement Tool

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...

Full description

Saved in:  
Bibliographic Details
Authors: Shashidhara, Sneha (Author) ; Mamidi, Pavan (Author) ; Vaidya, Shardul (Author) ; Daral, Ishank (Author)
Format: Electronic Article
Language:English
Published: 2024
In: Journal of interpersonal violence
Year: 2024, Volume: 39, Issue: 1/2, Pages: 11-34
Online Access: Volltext (lizenzpflichtig)
Journals Online & Print:
Drawer...
Check availability: HBZ Gateway
Keywords:
Description
Summary: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.
ISSN:1552-6518
DOI:10.1177/08862605231191187