ArticlePsychiatry research2018
Identifying the relative importance of non-suicidal self-injury features in classifying suicidal ideation, plans, and behavior using exploratory data mining.
Article in Psychiatry research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- The Application of AI to Ecological Momentary Assessment Data in Suicide Research: Systematic Review.Journal of medical Internet research · 2025Pooled it
- The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review.Frontiers in psychiatry · 2024Pooled it
- Prevalence of Suicidality in Major Depressive Disorder: A Systematic Review and Meta-Analysis of Comparative Studies.Frontiers in psychiatry · 2021Pooled it
- Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations.International journal of environmental research and public health · 2020Pooled it
- Predictive utility and associated challenges of adolescent arm scarring in suicide risk assessment.BMC psychiatry · 2026Article
- Development and initial test of an online self-assessment of nonsuicidal self-injury severity.Journal of affective disorders · 2025Article
- Using recursive partitioning to predict presence and severity of suicidal ideation amongst college students.Journal of American college health : J of ACH · 2025Article
- Decoding vital variables in predicting different phases of suicide among young adults with childhood sexual abuse: a machine learning approach.Translational psychiatry · 2025Article
- Predicting the trajectory of non-suicidal self-injury among adolescents.Journal of child psychology and psychiatry, and allied disciplines · 2025Article
- Automatically extracting social determinants of health for suicide: a narrative literature review.Npj mental health research · 2024Review
- Quantifying the Importance of Non-Suicidal Self-Injury Characteristics in Predicting Different Clinical Outcomes: Using Random Forest Model.Journal of youth and adolescence · 2024Article
- The Inter-Relationships Between Depressive Symptoms and Suicidality Among Macau Residents After the "Relatively Static Management" COVID-19 Strategy: A Perspective of Network Analysis.Neuropsychiatric disease and treatment · 2024Article
- Prediction of Mental Health Problem Using Annual Student Health Survey: Machine Learning Approach.JMIR mental health · 2023Article
- The relationship between emotional neglect and non-suicidal self-injury among middle school students in China: the mediating role of social anxiety symptoms and insomnia.BMC psychiatry · 2023Article
- Examining the use of decision trees in population health surveillance research: an application to youth mental health survey data in the COMPASS study.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2023Article
- Non-suicidal self-injury and suicidal ideation among adolescents: the chain-mediating role of rumination and decentering.Frontiers in psychiatry · 2023Article
- NSSI questionnaires revisited: A data mining approach to shorten the NSSI questionnaires.PloS one · 2023Article
- Association between violence and mental distress, self-harm and suicidal ideation and attempts among young people in Malawi.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2022Article
- Nonsuicidal Self-injury, Suicide Planning, and Suicide Attempts Among High-risk Adolescents Prior to Psychiatric Hospitalization.Research on child and adolescent psychopathology · 2021Article
- Self-Injuries and Their Functions with Respect to Suicide Risk in Adolescents with Conduct Disorder: Findings from a Path Analysis.Journal of clinical medicine · 2021Article
Corrections and comments
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7 authors.
Funding
Abstract
Individuals with a history of non-suicidal self-injury (NSSI) are at alarmingly high risk for suicidal ideation (SI), planning (SP), and attempts (SA). Given these findings, research has begun to evaluate the features of this multi-faceted behavior that may be most important to assess when quantifying risk for SI, SP, and SA. However, no studies have examined the wide range of NSSI characteristics simultaneously when determining which NSSI features are most salient to suicide risk. The current study utilized three exploratory data mining techniques (elastic net regression, decision trees, random forests) to address these gaps in the literature. Undergraduates with a history of NSSI (N = 359) were administered measures assessing demographic variables, depression, and 58 NSSI characteristics (e.g., methods, frequency, functions, locations, scarring) as well as current SI, current SP, and SA history. Results suggested that depressive symptoms and the anti-suicide function of NSSI were the most important features for predicting SI and SP. The most important features in predicting SA were the anti-suicide function of NSSI, NSSI-related medical treatment, and NSSI scarring. Overall, results suggest that NSSI functions, scarring, and medical lethality may be more important to assess than commonly regarded NSSI severity indices when ascertaining suicide risk.
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