Ecosistema para el monitoreo, tratamiento y prevención de violencia de género

Jorge Gómez Gómez; Helman Hernández Riaño; Velssy Hernández Riaño

doi:10.24054/rcta.v1i41.2414

Authors

Jorge Gómez Gómez Universidad de Córdoba https://orcid.org/0000-0001-8746-9386
Helman Hernández Riaño Universidad de Córdoba https://orcid.org/0000-0003-3042-2573
Velssy Hernández Riaño Universidad de Córdoba https://orcid.org/0000-0003-1556-5074

DOI:

https://doi.org/10.24054/rcta.v1i41.2414

Keywords:

Gender violence, ICT, Unsupervised learning, Artificial Intelligence

Abstract

Violence against women is not a new phenomenon, nor are its consequences for women's physical, mental, sexual and reproductive health. What is new is the growing recognition that acts of violence against women are not isolated events, but form a pattern of behavior that violates their rights, limits their participation in society, and damages their health and well-being. In this research work we approached gender violence, seen from a holistic perspective, which allowed us to observe the treatment given by science in the resolution of this problem. Our contribution to this research work was the creation of a micro ecosystem that contemplates the creation of six (6) modules for the attention of victims, in which the affected individual, authorities, health providers, medical personnel, police authorities and neighbors were integrated. An unsupervised learning model, Hierarchical Cluster, was used to group the data. This clustering derived from the model allows the authorities to have an overview of how to segment the groups and employ preventive strategies for the problem of gender violence.

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