Prediction of non-suicidal self-injury in adolescents at the family level using regression methods and machine learning-Reference-Cited by-同舟云学术

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Prediction of non-suicidal self-injury in adolescents at the family level using regression methods and machine learning

Published:2024-05 Issue: Volume:352 Page:67-75
ISSN:0165-0327
Container-title:Journal of Affective Disorders
language:en
Short-container-title:Journal of Affective Disorders

Author:

Zhou Si Chen,Zhou Zhaohe,Tang Qi,Yu Ping,Zou Huijing,Liu Qian,Wang Xiao Qin,Jiang Jianmei,Zhou Yang,Liu Lianzhong,Yang Bing Xiang,Luo Dan

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Wuhan Municipal Health Commission

National College Students Innovation and Entrepreneurship Training Program

Publisher

Elsevier BV

Reference63 articles.

1. The association of psychosocial and familial factors with adolescent suicidal ideation: a population-based study;An;Psychiatry Res.,2010

2. Validation of the Insomnia Severity Index as an outcome measure for insomnia research;Bastien;Sleep Med.,2001

3. The association between nonsuicidal self-injury and the emotional disorders: a meta-analytic review;Bentley;Clin. Psychol. Rev.,2015

4. The use of family theory in clinical practice;Bowen;Compr. Psychiatry,1966

5. Grief and mourning in infancy and early childhood;Bowlby;Psychoanal. Study Child,2008

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting Non-Suicidal Self-Injury among Chinese Adolescents: The Application of Ten Algorithms of Machine Learning;Heliyon;2024-09

2. Psychological pain and sociodemographic factors classified suicide attempt and non-suicidal self-injury in adolescents;Acta Psychologica;2024-06

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