Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-38550-6_12
Title: Suicide risk analysis
Authors: Choo, C.
Diederich, J.
Song, I.
Ho, R. 
Issue Date: 2014
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. © 2014 Springer-Verlag Berlin Heidelberg.
Source Title: Studies in Computational Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/125680
ISBN: 9783642385490
ISSN: 1860949X
DOI: 10.1007/978-3-642-38550-6_12
Appears in Collections:Staff Publications

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