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Using machine learning-based Natural Language Processing to quantify emergency department presentations related to suicide or self-harm in the Australian Capital Territory.

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Title: Using machine learning-based Natural Language Processing to quantify emergency department presentations related to suicide or self-harm in the Australian Capital Territory.
Authors: McNamara G; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia., Mayers P; ACT Office for Mental Health and Wellbeing, ACT Health Directorate, Canberra, ACT, Australia., Draper G; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia., Walsh EI; National Centre for Epidemiology and Population Health (NCEPH), Australian National University, Canberra, ACT, Australia., Zhu G; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia., Moore E; Royal Australian and New Zealand College of Psychiatrists, Melbourne, VIC, Australia., Raulli A; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia., Chalker E; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia.; National Centre for Epidemiology and Population Health (NCEPH), Australian National University, Canberra, ACT, Australia., Nicol M; Data Analytics Branch, ACT Health Directorate, Canberra, ACT, Australia., Freebairn L; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia.; National Centre for Epidemiology and Population Health (NCEPH), Australian National University, Canberra, ACT, Australia.
Source: The Australian and New Zealand journal of psychiatry [Aust N Z J Psychiatry] 2026 May; Vol. 60 (5), pp. 443-453. Date of Electronic Publication: 2026 Feb 28.
Publication Type: Journal Article
Journal Info: Publisher: Sage Country of Publication: England NLM ID: 0111052 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1440-1614 (Electronic) Linking ISSN: 00048674 NLM ISO Abbreviation: Aust N Z J Psychiatry Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Using machine learning-based Natural Language Processing to quantify emergency department presentations related to suicide or self-harm in the Australian Capital Territory.
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  Data: <searchLink fieldCode="AU" term="%22McNamara+G%22">McNamara G</searchLink>; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22Mayers+P%22">Mayers P</searchLink>; ACT Office for Mental Health and Wellbeing, ACT Health Directorate, Canberra, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22Draper+G%22">Draper G</searchLink>; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22Walsh+EI%22">Walsh EI</searchLink>; National Centre for Epidemiology and Population Health (NCEPH), Australian National University, Canberra, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22Zhu+G%22">Zhu G</searchLink>; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22Moore+E%22">Moore E</searchLink>; Royal Australian and New Zealand College of Psychiatrists, Melbourne, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Raulli+A%22">Raulli A</searchLink>; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22Chalker+E%22">Chalker E</searchLink>; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia.; National Centre for Epidemiology and Population Health (NCEPH), Australian National University, Canberra, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22Nicol+M%22">Nicol M</searchLink>; Data Analytics Branch, ACT Health Directorate, Canberra, ACT, Australia.<br /><searchLink fieldCode="AU" term="%22Freebairn+L%22">Freebairn L</searchLink>; Epidemiology Section, ACT Health Directorate, Canberra, ACT, Australia.; National Centre for Epidemiology and Population Health (NCEPH), Australian National University, Canberra, ACT, Australia.
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              Text: 2026 May
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