Suicide risk analysis

Other Publication ResearchOnline@JCU
Choo, Carol;Diederich, Joachim;Song, Insu;Ho, Roger
Insu Song
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.

Journal

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Publication Name

Mental Health Informatics

Volume

491

ISBN/ISSN

1860-9503

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Pages Count

12

Location

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Publisher

Springer

Publisher Url

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Publisher Location

Berlin, Germany

Publish Date

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Date

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EISSN

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DOI

10.1007/978-3-642-38550-6_12