Detection of Victimization Patterns and Risk of Gender Violence Through Machine Learning Algorithms

Detection of Victimization Patterns and Risk of Gender Violence Through Machine Learning Algorithms

This paper explores the application of machine learning techniques and statistical analysis to identify the patterns of victimization and the risk of gender-based violence in San Andrés de Tumaco, Nariño, Colombia. Models were developed to classify women according to their vulnerability and risk of...

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Bibliographic Details
Main Authors: Edna Rocio Bernal-Monroy, Erika Dajanna Castañeda-Monroy, Rafael Ricardo Rentería-Ramos, Sixto Enrique Campaña-Bastidas, Jessica Barrera, Tania Maribel Palacios-Yampuezan, Olga Lucía González Gustin, Carlos Fernando Tobar-Torres, Zeneida Rocio Ceballos-Villada
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Informatics
Subjects:
data science
gender violence
machine learning
Pacific
San Andrés de Tumaco
violence against women
Online Access:https://www.mdpi.com/2227-9709/12/1/21
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