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

Autores/as

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

Palabras clave:

Violencia de género, TIC, Aprendizaje no supervisado, Inteligencia artificial

Resumen

La violencia contra las mujeres no es un fenómeno nuevo, ni sus consecuencias para la salud física, mental, sexual y reproductiva de las mujeres. Lo nuevo es el reconocimiento creciente de que los actos de violencia contra las mujeres no son eventos aislados, sino que forman un patrón de comportamiento que viola sus derechos, limita su participación en la sociedad y daña su salud y bienestar. En este trabajo de investigación se abordó la violencia de género, vista desde un panorama holístico, que permitió observar el tratamiento que le ha dado la ciencia en la resolución de este problema. Nuestra contribución a este trabajo de investigación fue la creación de un micro ecosistema que contempla la creación de seis (6) módulos para la atención de las víctimas, en la cual se integró al individuo afectado, autoridades, proveedores de salud, personal médico, autoridades policiales y vecinos. Se empleó un modelo de aprendizaje no supervisado Clúster Jerárquico, para la agrupación de los datos. Esta agrupación derivada del modelo, permite a las autoridades tener una radiografía de como segmentar a los grupos y emplear estrategias preventivas para el problema de la violencia de género.

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