Predicting non-suicidal self-injury behavior among adolescents with depressive disorders: a comparative study based on different machine learning methods-Reference-Cited by-同舟云学术

Predicting non-suicidal self-injury behavior among adolescents with depressive disorders: a comparative study based on different machine learning methods

Published:2023-11-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 8th International Conference on Intelligent Information Processing
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Author:

Wang Yang¹^ORCID,Zheng Chengyi¹^ORCID,Zhang Bowen¹^ORCID,Lin Jie¹^ORCID,Zhou Yongjie²^ORCID,Manta Otilia³^ORCID,Niu Ben¹^ORCID

Affiliation:

1. Shenzhen University, China

2. Shenzhen Kangning Hospital, China

3. Centre for Financial and Monetary Research Victor Sl?vescu and CEMONT, Romanian Academy, Romania and Romanian-American University, Romania

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3635175.3635209

Reference60 articles.

1. Non-suicidal self-injury in United States adults: prevalence, sociodemographics, topography and functions

2. Predictors of non-suicidal self-injury cessation in adults who self-injured during adolescence

3. Global Lifetime and 12-Month Prevalence of Suicidal Behavior, Deliberate Self-Harm and Non-Suicidal Self-Injury in Children and Adolescents between 1989 and 2018: A Meta-Analysis

4. Association of Aggression and Non-Suicidal Self Injury: A School-Based Sample of Adolescents

5. Non-Suicidal Self-Injury and Depressive Symptoms During Middle Adolescence: A Longitudinal Analysis

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