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DPF: App for diagnosing the psychological profile of a possible feminicide

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Authors
Ramirez, Ivette
Mauricio, David
Issue Date
2020-03-01
Keywords
diagnostic
Feminicide
mobile application
psychological profile

Metadata
Show full item record
Publisher
Institute of Electrical and Electronics Engineers Inc.
Journal
Proceedings - 2020 IEEE International Conference on Software Architecture Companion, ICSA-C 2020
URI
http://hdl.handle.net/10757/656632
DOI
10.1109/ICSA-C50368.2020.00036
Additional Links
https://ieeexplore.ieee.org/document/9095725
Abstract
The most visible expression of violence against women is feminicide. The majority of feminicide cases are committed by the partner or former partner of the victim. This involves ongoing domestic abuses, threats or intimidation, sexual violence or situations in which women have less energy or resources than their partner. In addition, clinics, public hospitals or private health institutes have mental health evaluation processes, however, these flows are usually carried out in several sessions, which causes a delay in the diagnosis. In this article, a mobile application that supports psychologists or psychiatrists during the process of the psychological profile diagnosis is proposed. The system contains a questionnaire and psychological tests, in this way, based on the patient responses, indicators, and metrics, the psychological profile of the assailant is obtained as a result. The use of the system in 40 patients shows that the selection times and the psychological test qualification have improved, as well as the interpretation of the results and the total process of diagnosis, which, when obtained at opportune time, allows specialists to prevent the victim from a possible feminicide.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/embargoedAccess
Language
eng
Description
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
ae974a485f413a2113503eed53cd6c53
10.1109/ICSA-C50368.2020.00036
Scopus Count
Collections
Ingeniería de Sistemas y Computación

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