Predictors of suicide ideation among South Korean adolescents: A machine learning approach-Reference-Cited by-同舟云学术

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Predictors of suicide ideation among South Korean adolescents: A machine learning approach

Published:2023-05 Issue: Volume:329 Page:557-565
ISSN:0165-0327
Container-title:Journal of Affective Disorders
language:en
Short-container-title:Journal of Affective Disorders

Author:

Donnelly Hayoung Kim,Han Yoonsun,Kim Suna,Lee Dong Hun

Funder

National Research Foundation of Korea

Ministry of Education

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology

Reference67 articles.

1. Perceived family functioning and adolescent suicidal behavior;Adams;J. Am. Acad. Child Adolesc. Psychiatry,1994

2. Predicting women with depressive symptoms postpartum with machine learning methods;Andersson;Sci. Rep.,2021

3. Emergency department youth patients with suicidal ideation or attempts: predicting suicide attempts through 18 months of follow-up;Asarnow;Suicide Life Threat. Behav.,2017

4. Suicide ideation and depression: the moderation effects of family cohesion and social self-concept;Au;Adolescence,2009

5. Assessment of suicidal intention: the scale for suicide ideation;Beck;J. Consult. Clin. Psychol.,1979

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1. Gender-specific factors of suicidal ideation among high school students in Yunnan province, China: A machine learning approach;Journal of Affective Disorders;2024-11

2. Homicidality risk prediction based on ecological systems theory in an early adolescent cohort using machine learning;Journal of Criminal Justice;2024-09

3. Unlocking the link between temporomandibular disorders and suicide ideation in pre-orthodontic patients: A moderated mediation model of depression and anxiety;Journal of Affective Disorders;2024-03

4. Identifying important predictors of adolescent suicide ideation, planning, and attempt in low‐ and middle‐income countries;Suicide and Life-Threatening Behavior;2023-12-11

5. Why is Korean girls’ suicidal ideation rate higher than boys’ rate? The role of gender heterogeneity in peer groups;PLOS ONE;2023-09-06

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