Literature DB >> 6385733

The prediction of suicide: why is it so difficult?

G E Murphy.   

Abstract

Methods for selecting those persons in a clinical population who will later commit suicide inevitably include large numbers of false positives--persons with similar characteristics who will not take their lives. This is true because of the absence of unique predictors and the statistical properties of infrequent events. At a clinical level, the focus is on risk detection rather than on specific behavior prediction. Since suicide is intimately related to certain psychiatric illnesses, effective treatment of those illnesses can prevent suicides. This must already be taking place. Prevention, however, generates no data. If suicide is difficult to predict, its prevention is even more difficult to detect.

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Year:  1984        PMID: 6385733     DOI: 10.1176/appi.psychotherapy.1984.38.3.341

Source DB:  PubMed          Journal:  Am J Psychother        ISSN: 0002-9564


  6 in total

1.  Identifying suicide potential in primary care.

Authors:  E H Lin; M Von Korff; E H Wagner
Journal:  J Gen Intern Med       Date:  1989 Jan-Feb       Impact factor: 5.128

2.  Can suicide be prevented? Prevention is possible if doctors are taught how.

Authors:  H G Morgan
Journal:  BMJ       Date:  1994-10-01

3.  Secondary prevention of suicide.

Authors:  Debora Ganz; M Dolores Braquehais; Leo Sher
Journal:  PLoS Med       Date:  2010-06-01       Impact factor: 11.069

4.  Toward suicide prevention.

Authors:  V A Rao
Journal:  Indian J Psychiatry       Date:  1999-10       Impact factor: 1.759

5.  How negative are we to the idea of suicide prevention?

Authors:  H G Morgan; M O Evans
Journal:  J R Soc Med       Date:  1994-10       Impact factor: 18.000

6.  Meaningless comparisons lead to false optimism in medical machine learning.

Authors:  Orianna DeMasi; Konrad Kording; Benjamin Recht
Journal:  PLoS One       Date:  2017-09-26       Impact factor: 3.240

  6 in total

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