Suicide risk analysis

Carol Choo, Joachim Diederich, Insu Song, Roger Ho

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    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.

    Original languageEnglish
    Title of host publicationMental Health Informatics
    EditorsMargaret Lech, Insu Song, Peter Yellowlees, Joachim Diederich
    PublisherSpringer-Verlag London Ltd.
    Pages217-228
    Number of pages12
    Volume491
    ISBN (Electronic)978-3-642-38550-6
    ISBN (Print)978-3-642-38549-0
    DOIs
    Publication statusPublished - 2014

    Publication series

    NameStudies in Computational Intelligence
    Volume491
    ISSN (Print)1860949X

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