Using machine learning to estimate the incidence rate of intimate partner violence
Abstract It is difficult to accurately estimate the incidence rate of intimate partner violence (IPV) using traditional social survey methods because IPV victims are often reluctant to disclose their experiences, leading to an underestimation of the incidence rate. To address this issue, we applied...
Main Authors: | Zhuo Chen, Wen Ma, Ying Li, Wei Guo, Senhu Wang, Wansu Zhang, Yunsong Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-04-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-31846-8 |
Similar Items
-
Incidence and risk factors for intimate partner violence during the postpartum period
by: Elisabete Pereira Silva, et al.
Published: (2015-01-01) -
The social disorganization of intimate partner violence
by: Anthony Piscitelli, et al.
Published: (2019-08-01) -
Intimate partner violence and self-esteem
by: H. Dhouib, et al.
Published: (2021-04-01) -
RISK FACTORS FOR INTIMATE PARTNER VIOLENCE
by: Ceren Atakay
Published: (2014-06-01) -
War and Intimate Partner Violence in Africa
by: Kien Le, et al.
Published: (2022-05-01)