Skip to main content
×
×
Home

Letter to the Editor: Suicide as a complex classification problem: machine learning and related techniques can advance suicide prediction - a reply to Roaldset (2016)

  • J. D. Ribeiro (a1), J. C. Franklin (a1), K. R. Fox (a2), K. H. Bentley (a3), E. M. Kleiman (a2), B. P. Chang (a4) and M. K. Nock (a2)...
  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Letter to the Editor: Suicide as a complex classification problem: machine learning and related techniques can advance suicide prediction - a reply to Roaldset (2016)
      Available formats
      ×
      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Letter to the Editor: Suicide as a complex classification problem: machine learning and related techniques can advance suicide prediction - a reply to Roaldset (2016)
      Available formats
      ×
      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Letter to the Editor: Suicide as a complex classification problem: machine learning and related techniques can advance suicide prediction - a reply to Roaldset (2016)
      Available formats
      ×
Abstract
Copyright
Corresponding author
*Address for correspondence: J. D. Ribeiro, Ph.D., Department of Psychology, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240, USA. (Email: jessica.d.ribeiro@vanderbilt.edu)
References
Hide All
Bentley, KH, Franklin, JC, Ribeiro, JD, Kleiman, EM, Fox, KR, Nock, MK (2016). Anxiety and its disorders as risk factors for suicidal thoughts and behaviors: a meta-analytic review. Clinical Psychology Review 43, 3046.
Bostwick, JM, Pankratz, VS (2000). Affective disorders and suicide risk: a reexamination. American Journal of Psychiatry 157, 19251932.
Bruffaerts, R, Demyttenaere, K, Hwang, I, Chiu, WT, Sampson, N, Kessler, RC, Alonso, J, Borges, G, de Girolamo, G, de Graaf, R, Florescu, S (2011). Treatment of suicidal people around the world. British Journal of Psychiatry 199, 6470.
Dahlsgaard, KK, Beck, AT, Brown, GK (1998). Inadequate response to therapy as a predictor of suicide. Suicide and Life-Threatening Behavior 28, 197204.
Fox, KR, Franklin, JC, Ribeiro, JD, Kleiman, EM, Bentley, KH, Nock, MK (2015). Meta-analysis of risk factors for nonsuicidal self-injury. Clinical Psychology Review 42, 156167.
Kessler, RC, Berglund, P, Borges, G, Nock, M, Wang, PS (2005). Trends in suicide ideation, plans, gestures, and attempts in the United States, 1990–1992 to 2001–2003. Journal of the American Medical Association 293, 24872495.
Kessler, RC, Warner, CH, Ivany, C, Petukhova, MV, Rose, S, Bromet, EJ, Brown, M, Cai, T, Colpe, LJ, Cox, KL, Fullerton, CS (2015). Predicting suicides after psychiatric hospitalization in US Army soldiers: the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). JAMA Psychiatry 72, 4957.
Qin, P, Nordentoft, M (2005). Suicide risk in relation to psychiatric hospitalization: evidence based on longitudinal registers. Archives of General Psychiatry 62, 427432.
Ribeiro, JD, Franklin, JC, Fox, KR, Bentley, KH, Kleiman, EM, Chang, BP, Nock, MK (2016). Self-injurious thoughts and behaviors as risk factors for future suicide ideation, attempts, and death: a meta-analysis of longitudinal studies. Psychological Medicine 46, 225236.
Roaldset, JO (2016). Self-injurious thoughts and behaviors: low predictive power, yet important risk factors? Psychological Medicine. doi: 10.1017/S0033291716000416.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Psychological Medicine
  • ISSN: 0033-2917
  • EISSN: 1469-8978
  • URL: /core/journals/psychological-medicine
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Metrics

Altmetric attention score

Abstract views

Total abstract views: 969 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 20th September 2018. This data will be updated every 24 hours.