Applicability of neural networks to suicidological research: A pilot study

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Title Applicability of neural networks to suicidological research: A pilot study
Author Caon, Federico; Meneghel, Gaia; Zaghi, Piercarlo; De Leo, Diego
Journal Name Archives of Suicide Research
Year Published 2002
Place of publication United Kingdom
Publisher Brunner-Routledge, Taylor & Francis Group
Abstract Suicide is a leading cause of death internationally. Prediction of the phenomenon has proved to be extremely difficult and results in this area have been modest. The objective of this pilot study was to assess the applicability of the Neural Network statistical procedure to suicidal data. The predictive ability of three statistical techniques (Logistic Regression, Discriminatory Analysis and Neural Networks) were compared in the ability to distinguish between suicides and attempts on the basis of a variety of variables. Although the Neural Network model expresses its full potential with large numbers, it has proved to be effective even in our limited sample. This suggests that neural networks may exhibit superior predictive capacity when the data set is enlarged. This technique may prove to be a useful additional tool in the field of suicide prediction and prevention.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1080/13811110214139
Volume 6
Page from 285
Page to 289
ISSN 1381-1118
Date Accessioned 2003-04-14
Language en_AU
Research Centre Australian Institute for Suicide Research and Prevention
Faculty Australian Institute for Suicide Research & Prevention
Subject PRE2009-Public Health and Health Services
URI http://hdl.handle.net/10072/6572
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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