Characterization of suicidal behaviour with self-organizing maps

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dc.contributor.author Leiva-Murillo, Jose M.
dc.contributor.author López-Castromán, Jorge
dc.contributor.author Baca-García, Enrique
dc.contributor.author Consortium, Eureca
dc.contributor.other UAM. Departamento de Psiquiatría es_ES
dc.date.accessioned 2014-10-29T11:07:58Z
dc.date.available 2014-10-29T11:07:58Z
dc.date.issued 2013-07-19
dc.identifier.citation Computational and Mathematical Methods in Medicine 2013 (2013): 136743 es_ES
dc.identifier.issn 1748-670X (print) en_US
dc.identifier.issn 1748-6718 (online) en_US
dc.identifier.uri http://hdl.handle.net/10486/662333
dc.description.abstract The study of the variables involved in suicidal behavior is important from a social, medical, and economical point of view. Given the high number of potential variables of interest, a large population of subjects must be analysed in order to get conclusive results. In this paper, we describe a method based on self-organizing maps (SOMs) for finding the most relevant variables even when their relation to suicidal behavior is strongly nonlinear. We have applied the method to a cohort with more than 8,000 subjects and 600 variables and discovered four groups of variables involved in suicidal behavior. According to the results, there are four main groups of risk factors that characterize the population of suicide attempters: mental disorders, alcoholism, impulsivity, and childhood abuse. The identification of specific subpopulations of suicide attempters is consistent with current medical knowledge and may provide a new avenue of research to improve the management of suicidal cases en_US
dc.description.sponsorship This work was partially supported by the Spanish Ministry of Science and Innovation under Projects CSD2008-00010, TEC2009-14504-C02-01, and TEC2012-38800-C03-01, the Madrid Regional Government under the S2010/BMD-2422 Project, and PAPIIT-UNAM (Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica, Universidad Nacional Autónoma de México). en_US
dc.format.extent 9 pag. es_ES
dc.format.mimetype application/pdf en
dc.language.iso eng en
dc.publisher Hindawi Publishing Corporation en_US
dc.relation.ispartof Computational and Mathematical Methods in Medicine en_US
dc.rights Copyright © 2013 José M. Leiva-Murillo et al. en_US
dc.subject.other Suicidal behavior en_US
dc.subject.other Self-organizing maps (SOMs) en_US
dc.subject.other Mental disorders en_US
dc.subject.other Alcoholism en_US
dc.subject.other Impulsivity en_US
dc.subject.other Childhood abuse en_US
dc.title Characterization of suicidal behaviour with self-organizing maps en_US
dc.type article en
dc.subject.eciencia Medicina es_ES
dc.relation.publisherversion http://dx.doi.org/10.1155/2013/136743 es_ES
dc.identifier.doi 10.1155/2013/136743 es_ES
dc.identifier.publicationfirstpage 136743 es_ES
dc.identifier.publicationvolume 2013 es_ES
dc.relation.projectID Comunidad de Madrid. S2010/BMD-2422/AGES es_ES
dc.type.version info:eu-repo/semantics/publishedVersion en
dc.rights.cc Reconocimiento es_ES
dc.rights.accessRights openAccess en
dc.authorUAM Baca García, Enrique (261227)


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