A Machine Learning Approach to Identifying Changes in Suicidal Language

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

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

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 50
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1111/sltb.12642
  • Dergi Adı: SUICIDE AND LIFE-THREATENING BEHAVIOR
  • Derginin Tarandığı İndeksler: 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
  • Sayfa Sayıları: ss.939-947
  • Çanakkale Onsekiz Mart Üniversitesi Adresli: Hayır

Özet

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.