Ashoka University, New Delhi, India.
J Interpers Violence. 2024 Jan;39(1-2):11-34. doi: 10.1177/08862605231191187. Epub 2023 Aug 20.
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 ( = 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.
家庭暴力，尤其是亲密伴侣暴力（IPV），是一个全球性的重要问题，在印度尤为突出。那些经历过家庭暴力的人并不总是能够站出来或获得必要的社会支持来采取行动。我们利用国家家庭健康调查数据（=66013 名女性）创建机器学习模型，可以以 78%的召回率预测 IPV 事件。我们使用排名前 15 的最佳预测问题来避免敏感问题，创建一个现场工具，供一线卫生工作者用来识别有高 IPV 风险的妇女，并为她们提供所需的支持。
