Suicide risk analysis

Choo, Carol, Diederich, Joachim, Song, Insu, and Ho, Roger (2014) Suicide risk analysis. In: Lech, Margaret, Song, Insu, Yellowlees, Peter, and Diederich, Joachim, (eds.) Mental Health Informatics. Studies in Computational Intelligence, 491 . Springer, Berlin, Germany, pp. 217-228.

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Abstract

This study explores the trends and patterns in suicide risk factors using data mining techniques. Medical records of 666 suicide attempters who were admitted to a teaching hospital from January 2004 to December 2006 were studied. Data mining techniques revealed hidden patterns for repeated and single attempters, as well as suicide precipitants and risk factors. The findings have implications for further research in suicide assessment and intervention.

Item ID: 30713
Item Type: Book Chapter (Research - B1)
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ISBN: 978-3-642-38549-0
ISSN: 1860-9503
Date Deposited: 01 Apr 2014 01:24
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080107 Natural Language Processing @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 50%
SEO Codes: 92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 50%
92 HEALTH > 9202 Health and Support Services > 920209 Mental Health Services @ 50%
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