The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review

Author:

Burke Taylor A.ORCID,Ammerman Brooke A.,Jacobucci Ross

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology

Reference60 articles.

1. Development and validation of empirically derived frequency criteria for NSSI disorder using exploratory data mining;Ammerman;Psychol. Assess.,2017

2. The relationship between nonsuicidal self-injury age of onset and severity of self-harm;Ammerman;Suicide Life-Threatening Behav.,2018

3. Using exploratory data mining to identify important correlates of nonsuicidal self-injury frequency;Ammerman;Psychol. Violence.,2017

4. Nucleotide variation in central nervous system genes among male suicide attempters;Baca-Garcia;Am. J. Med. Genet. Part B Neuropsychiatr. Genet.,2010

5. Prediction by data mining, of suicide attempts in Korean adolescents: a national study;Bae;Neuropsychiatr. Dis. Treat.,2015

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