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

Affiliation

Temple University, Department of Psychology, Philadelphia, PA, USA. Electronic address: [Email]

Abstract

Machine learning techniques offer promise to improve suicide risk prediction. In the current systematic review, we aimed to review the existing literature on the application of machine learning techniques to predict self-injurious thoughts and behaviors (SITBs).

Keywords

Big data,Exploratory data mining,Machine learning,Non-suicidal self-injury,Pattern recognition,Suicidal ideation,Suicide,Suicide attempt,Suicide risk,

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