Characterization of suicidal behaviour with self-organizing maps Articles uri icon

authors

  • LEIVA MURILLO, JOSE MIGUEL
  • LĂ“PEZ CASTROMAN, JORGE
  • BACA GARCIA, ENRIQUE

publication date

  • March 2013

issue

  • 136743

volume

  • 2013

International Standard Serial Number (ISSN)

  • 1748-670X

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.

keywords

  • eureca consortium3