@misc{10481/86214,
year = {2020},
url = {https://hdl.handle.net/10481/86214},
abstract = {Intimate Partner Violence (IPV) has become a problem of a great magnitude as it is a leading cause of death
for women according to the World Health Organization. This paper presents a novel Early Warning System
(EWS) for locating and protecting potential victims of IPV in which the victims’ environment plays a central
role. Specifically, based on Markov random fields, our EWS measures the danger through the perception that the
victims’ surroundings have. This new standpoint is of particular relevance since most of the IPV victims do not
have a clear perception of the approaching danger.
The EWS has been designed without geographical constrains to be appropriate for use in every country of the
world (universal EWS). Importantly, it may be rewritten into computational terms thereby providing a real tool
for police investigations. Connections with text mining and sentiment analysis may provide additional devices
based on this model.},
publisher = {ELSEVIER},
title = {Intimate partner violence: A novel warning system in which the victims' environment alerts to the danger},
doi = {10.1016/j.heliyon.2020.e03211},
author = {García Cabello, Julia},
}