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

Authors
  • Shashidhara, Sneha1
  • Mamidi, Pavan1
  • Vaidya, Shardul1
  • Daral, Ishank1
  • 1 Ashoka University, New Delhi, India. , (India)
Type
Published Article
Journal
Journal of interpersonal violence
Publication Date
Jan 01, 2024
Volume
39
Issue
1-2
Pages
11–34
Identifiers
DOI: 10.1177/08862605231191187
PMID: 37599434
Source
Medline
Keywords
Language
English
License
Unknown

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.

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