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Suicide Prevention and Interventions

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Mental Health".

Deadline for manuscript submissions: closed (12 July 2023) | Viewed by 6123

Special Issue Editor


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Guest Editor
Centre for Mental Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3053, Australia
Interests: sucide prevention; mental health interventions; universal interventions

Special Issue Information

Dear Colleagues,

Suicide is a major public health concern. Globally, approximately 700,000 people die by suicide each year. Suicide profoundly affects families, social networks, and the broader community. For each suicide, approximately 135 people are negatively affected. Suicide usually results from a unique and complex interaction between several risk factors. These risk factors can be sociodemographic, clinical, personality-based, environmental/situational, genetic, or neurobiological. To address the many complex risk factors associated with suicide and suicide-related thoughts and behaviours, multilevel prevention approaches are being used worldwide. Multilevel approaches consist of universal, selective, and indicated interventions. These interventions target different population groups with varying levels of risk. Universal interventions target the population; selective interventions target groups that are identified as high-risk but are not currently showing signs of suicide-related behaviours (e.g., people with a mental illness, people bereaved by suicide, young men); and indicated interventions target individuals displaying signs of suicide-related behaviours. There is, however, a lack of knowledge about which interventions are most effective in combating suicide. This Special Issue of the International Journal of Environmental Research and Public Health (IJERPH) focuses on bringing together research across different disciplines that aim to understand suicidal thoughts and behaviours and the effectiveness of interventions aimed at preventing suicide.

Dr. Maria Ftanou
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • suicide
  • suicide ideation
  • self-harm
  • suicidal behaviour
  • interventions
  • prevention

Published Papers (1 paper)

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Review

23 pages, 1374 KiB  
Review
Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review
by Abayomi Arowosegbe and Tope Oyelade
Int. J. Environ. Res. Public Health 2023, 20(2), 1514; https://doi.org/10.3390/ijerph20021514 - 13 Jan 2023
Cited by 13 | Viewed by 5584
Abstract
(1) Introduction: Around a million people are reported to die by suicide every year, and due to the stigma associated with the nature of the death, this figure is usually assumed to be an underestimate. Machine learning and artificial intelligence such as natural [...] Read more.
(1) Introduction: Around a million people are reported to die by suicide every year, and due to the stigma associated with the nature of the death, this figure is usually assumed to be an underestimate. Machine learning and artificial intelligence such as natural language processing has the potential to become a major technique for the detection, diagnosis, and treatment of people. (2) Methods: PubMed, EMBASE, MEDLINE, PsycInfo, and Global Health databases were searched for studies that reported use of NLP for suicide ideation or self-harm. (3) Result: The preliminary search of 5 databases generated 387 results. Removal of duplicates resulted in 158 potentially suitable studies. Twenty papers were finally included in this review. (4) Discussion: Studies show that combining structured and unstructured data in NLP data modelling yielded more accurate results than utilizing either alone. Additionally, to reduce suicides, people with mental problems must be continuously and passively monitored. (5) Conclusions: The use of AI&ML opens new avenues for considerably guiding risk prediction and advancing suicide prevention frameworks. The review’s analysis of the included research revealed that the use of NLP may result in low-cost and effective alternatives to existing resource-intensive methods of suicide prevention. Full article
(This article belongs to the Special Issue Suicide Prevention and Interventions)
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