A Machine Learning Approach to Identifying Changes in Suicidal Language

Pestian J., Santel D., Sorter M., Bayram U., Connolly B., Glauser T., ...More

SUICIDE AND LIFE-THREATENING BEHAVIOR, vol.50, pp.939-947, 2020 (SSCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 50
  • Publication Date: 2020
  • Doi Number: 10.1111/sltb.12642
  • Journal Name: SUICIDE AND LIFE-THREATENING BEHAVIOR
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, PASCAL, Abstracts in Social Gerontology, BIOSIS, CINAHL, Communication & Mass Media Index, Criminal Justice Abstracts, EBSCO Education Source, Education Abstracts, EMBASE, MEDLINE, Psycinfo, Social services abstracts, Sociological abstracts, Violence & Abuse Abstracts
  • Page Numbers: pp.939-947
  • Çanakkale Onsekiz Mart University Affiliated: No

Abstract

Objective With early identification and intervention, many suicidal deaths are preventable. Tools that include machine learning methods have been able to identify suicidal language. This paper examines the persistence of this suicidal language up to 30 days after discharge from care.