• DocumentCode
    3685631
  • Title

    The use of technology in Suicide Prevention

  • Author

    Mark E. Larsen;Nicholas Cummins;Tjeerd W. Boonstra;Bridianne O´Dea;Joe Tighe;Jennifer Nicholas;Fiona Shand;Julien Epps;Helen Christensen

  • Author_Institution
    Black Dog Institute, University of New South Wales, Sydney, 2031, Australia
  • fYear
    2015
  • Firstpage
    7316
  • Lastpage
    7319
  • Abstract
    Suicide is one of the leading causes of death globally, and is notably a significant cause of death amongst young people. A suicide outcome is a complex combination of personal, social, and health factors, and therefore suicide prevention is a challenge, requiring a systems approach incorporating public health strategies, screening at-risk individuals, targeted interventions, and follow-up for suicide survivors and those bereaved by suicide. Engineering practice has been implicated in the hindrance of the adoption of suicide prevention strategies, such as installing safety barriers at the Golden Gate Bridge, however technological developments offer new opportunities in suicide prevention, and the potential to reduce the number of deaths by suicide. We present an overview of current technological developments which are facilitating research in the field of suicide prevention, including multiple modes of screening such as network analysis of mobile-phone collected connectivity data, automatic detection of suicidality from social media content, and crisis detection from acoustic variability in speech patterns. The current field of mhealth apps for suicide prevention is assessed, and an innovative app for an Indigenous population is presented. From this overview, future challenges - technical and ethical - are discussed.
  • Keywords
    "Speech","Media","Acoustics","Australia","Speech processing","Twitter"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7320081
  • Filename
    7320081