Characterization of Suicidal Behaviour with Self-Organizing Maps
Joint Authors
Leiva-Murillo, José M.
Consortium, EURECA
López-Castromán, Jorge
Baca-García, Enrique
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Leiva-Murillo, José M.& López-Castromán, Jorge& Baca-García, Enrique& Consortium, EURECA. 2013. Characterization of Suicidal Behaviour with Self-Organizing Maps. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-448589
Modern Language Association (MLA)
Leiva-Murillo, José M.…[et al.]. Characterization of Suicidal Behaviour with Self-Organizing Maps. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-448589
American Medical Association (AMA)
Leiva-Murillo, José M.& López-Castromán, Jorge& Baca-García, Enrique& Consortium, EURECA. Characterization of Suicidal Behaviour with Self-Organizing Maps. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-448589
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448589