Método Clúster – Red neuronal artificial para valoración y diagnóstico temprano de ideación suicida en adolescentes escolarizados

datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
dc.contributor.authorDe la hoz Granadillo, Efraín Javier
dc.contributor.authorReyes Ruiz, Lizeth
dc.contributor.authorSánchez Villegas, Milgen
dc.date.accessioned2023-12-14T16:10:46Z
dc.date.available2023-12-14T16:10:46Z
dc.date.issued2023
dc.description.abstractEl suicidio es considerado un problema de salud donde los adolescentes presentan mayor riesgo. Este trabajo desarrolló un método de valoración y pronóstico para el diagnóstico temprano de la ideación suicida en adolescentes escolarizados a través de técnicas multivariadas análisis de clúster y redes neuronales artificiales. Se analizaron variables relacionadas con pensamientos, planes y manifestaciones suicidas en (n=638) adolescentes. El análisis de clúster permitió identificar el 73.2% de los adolescentes con ideación suicida baja, 18.5% ideación suicida media y 8,3% con alta ideación suicida. Se diseñó una red neuronal con capacidad de clasificación correcta del 95,5%. El método propuesto tiene capacidad de discriminar y diagnosticar la ideación suicida en adolescentes escolarizados. Estos resultados buscan aportar a la construcción y desarrollo de iniciativas enfocadas a la detección temprana e intervención desde la implementación de políticas educativas y públicas para la prevención del suicidio en la adolescencia.spa
dc.description.abstractWorldwide, suicide is considered a health problem where adolescents are most at risk. This work developed a method to assess and predict an early diagnosis of suicidal ideation among school adolescents through multivariate techniques: cluster analysis and artificial neural networks. Variables related to suicidal thoughts, plans and manifestation were analyzed in (n=638) adolescents. Cluster analysis identified 73.2% of adolescents with low suicidal ideation, 18.5% with medium suicidal ideation and 8.3% with high suicidal ideation. A neural network was designed with a correct classification capacity of 95.5%. The proposed method can discriminate and diagnose suicidal ideation in school adolescents. These results seek to create and develop initiatives focused on early detection and intervention to implementing educational and public policies preventing suicide among adolescents.eng
dc.format.mimetypepdfspa
dc.identifier.doihttps://doi.org/10.30849/ripijp.v57i2.1360
dc.identifier.issn00349690
dc.identifier.issn23294795 (en línea)
dc.identifier.urihttps://hdl.handle.net/20.500.12442/13666
dc.identifier.urlhttps://journal.sipsych.org/index.php/IJP/article/view/1360?fbclid=IwAR0UQLoP-foe8Rl5B23SaGb06gtVSTPFQMkJJEBYa0UFQ68nnqFEoiD1JRQ
dc.language.isospaspa
dc.publisherInteramerican Society of Psychologyeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceRevista Interamericana de Psicologíaspa
dc.sourceInteramerican Journal of Psychologyeng
dc.sourceVol. 57 No.2, e1360, (2023)
dc.subjectIdeación suicidaspa
dc.subjectIdeas suicidasspa
dc.subjectRiesgo suicidaspa
dc.subjectSuicidiospa
dc.subjectAdolescentesspa
dc.subjectAnálisis multivariadospa
dc.subjectSuicide ideationeng
dc.subjectSuicide riskeng
dc.subjectSuicideeng
dc.subjectAdolescentseng
dc.subjectMultivariate analysiseng
dc.titleMétodo Clúster – Red neuronal artificial para valoración y diagnóstico temprano de ideación suicida en adolescentes escolarizadosspa
dc.title.translatedCluster analysis and artificial neural networks to assess and diagnosis suicide ideation in school adolescentseng
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.spaArtículo científicospa
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