[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-125722-en":3,"doc-seo-125722-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},125722,1649267921044,"Ava Thompson","https://us-avatar.wpscdn.com/avatar/1800007509477c92dfb?_k=1782875107921204101",8,"Research & Report","Machine Learning Applied to Gender Violence - A Systematic Mapping Study","Machine Learning (ML) is used to tackle problems through data processing, models, algorithms, and predictive factors. A systematic mapping covering 2018–2023 reviews how ML is applied to gender-based violence. The study defines research questions, search strings, bibliographic sources, and inclusion/exclusion criteria to organize the evidence. Results highlight benefits and challenges of applying AI/ML across areas such as education, health, and violence, including the countries and contexts where research occurs.","Machine Learning Applied to Gender Violence: A Systematic Mapping  \nStudy  \nCristian-Camilo Pinto-Muñoz1  \nJhon-Alex Zuñiga-Samboni2  \nHugo-Armando Ordoñez-Erazo3  \nReceived: February 02, 2023 Accepted: May 31, 2023 Published: June 20, 2023  \nCitation: C.-C. Pinto-Muñoz , J.-A. Zuñiga-Samboni, H.-A. Ordoñez-Erazo , “Machine Learning Applied to Gender Violence: A Systematic Mapping Study,” Revista Facultad de Ingeniería , vol.  \n32, no. 64, e15944 2023. [https://doi.org/10.19053/01211129.v32.n64.2023.15944](https://doi.org/10.19053/01211129.v32.n64.2023.15944)  \nAbstract  \nMachine Learning (ML) has positioned itself as one of the best tools to address different problems thanks to its data processing capabilities, as well as the different models, algorithms, and predictive factors that help to solve defined problems. Therefore, this article presents a systematic mapping from 2018 to 2023 focused on the application of ML to gender-based violence. The methodology followed for this  \n1 Universidad del Cauca (Popayán-Cauca, Colombia) . [pintocristian@unicauca.edu.co](pintocristian@unicauca.edu.co. ORCID:)[. ORCID:](pintocristian@unicauca.edu.co. ORCID:) 0009-0006- 0545-5700  \n2 Universidad del Cauca (Popayán-Cauca, Colombia) . [j](jhonalexsa@unicauca.edu.co. ORCID:)[honalexsa@unicauca.edu.co](jhonalexsa@unicauca.edu.co. ORCID:)[. ORCID:](jhonalexsa@unicauca.edu.co. ORCID:) 0009-0007-2887- 5908  \n3 Ph. D. Universidad del Cauca (Popayán-Cauca, Colombia) . [hugoordonez@unicauca.edu.co](hugoordonez@unicauca.edu.co. ORCID:)[. ORCID:](hugoordonez@unicauca.edu.co. ORCID:) 0000- 0002-3465-5617  \nstudy is based on the definition of elements such as research questions, search strings, bibliographic sources, and inclusion and exclusion criteria. The research results allow us to understand the benefits and challenges of using artificial intelligence, precisely one of its branches, ML, to help combat problems in different areas of society, such as education, health, and violence, among others. It also identifies the countries where ML is being researched and the contexts it is applied to. The study discusses the application of ML to combat gender-based violence. After conducting a literature review, beneficial results were found in the application of artificial intelligence and ML. The results obtained in the different articles showed a predictive capacity and improvements compared to currently used systems. However, despite the positive results, no evidence of the development of an ML model or algorithm applied to gender-based violence in Colombia was found in thereview.  \nKeywords: domestic violence; gender-based violence; machine learning; prediction.  \nMachine learning aplicado a la violencia de género: un estudio de mapeo  \nsistemático  \nResumen  \nMachine Learning (ML) se ha posicionado como una de las mejores herramientas para abordar diferentes problemáticas gracias a su capacidad de procesamiento de datos y a los diferentes modelos, algoritmos y factor predictivo para ayudar a dar solución a los problemas definidos. Es por ello, que este artículo presenta un mapeosistemático de los años 2018 a 2023, el cual se orienta en la aplicación de ML enfocado en la violencia de género. La metodología seguida para la realización delestudio parte de la definición de elementos, como preguntas de investigación, cadenas de búsqueda, fuentes bibliográficas y criterios de inclusión y exclusión. Los resultados de la investigación permiten comprender los beneficios y retos que presenta el uso de inteligencia artificial, desde específicamente una de sus ramas, el ML, para ayudar a combatir problemas en diferentes ámbitos de la sociedad, como educación, salud, violencia, entre otros. Además de constatar en qué paísesse está investigando el ML y en qué contextos es aplicado. El trabajo discute la  \naplicación de ML para combatir la violencia de género. Tras realizar el estudio derevisión de la literatura, se encontraron resultados beneficiosos de la aplicació","cbCaislH5cTwXucd","https://ap.wps.com/l/cbCaislH5cTwXucd","pdf",916325,1,30,"English","en",105,"# Abstract\n## Background and scope (2018–2023)\n## Methodology\n## Findings and implications","[{\"question\":\"What time range does the systematic mapping cover for ML applied to gender-based violence?\",\"answer\":\"The mapping covers studies from 2018 to 2023.\"},{\"question\":\"How does the study conduct its systematic mapping?\",\"answer\":\"It uses defined research questions, search strings, bibliographic sources, and inclusion/exclusion criteria.\"},{\"question\":\"What overall results does the review report about ML for gender-based violence?\",\"answer\":\"The review finds beneficial results, including predictive capacity and improvements versus currently used systems, while noting limited evidence of ML model or algorithm development specifically in Colombia.\"}]","Machine Learning Applied to Gender Violence - A Systematic Mapping Study | PDF",1785900843,76,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"machine-learning-applied-to-gender-violence-a-systematic-mapping-study","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/machine-learning-applied-to-gender-violence-a-systematic-mapping-study/125722/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What time range does the systematic mapping cover for ML applied to gender-based violence?","Question",{"text":75,"@type":76},"The mapping covers studies from 2018 to 2023.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the study conduct its systematic mapping?",{"text":80,"@type":76},"It uses defined research questions, search strings, bibliographic sources, and inclusion/exclusion criteria.",{"name":82,"@type":73,"acceptedAnswer":83},"What overall results does the review report about ML for gender-based violence?",{"text":84,"@type":76},"The review finds beneficial results, including predictive capacity and improvements versus currently used systems, while noting limited evidence of ML model or algorithm development specifically in Colombia.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":21,"slug":121},"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]