Discovery of depression-associated factors among childhood trauma victims from a large sample size: Using machine learning and network analysis-Reference-Cited by-同舟云学术

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Discovery of depression-associated factors among childhood trauma victims from a large sample size: Using machine learning and network analysis

Published:2024-01 Issue: Volume:345 Page:300-310
ISSN:0165-0327
Container-title:Journal of Affective Disorders
language:en
Short-container-title:Journal of Affective Disorders

Author:

Jin Yu,Xu Shicun,Shao Zhixian,Luo Xianyu,Wang Yinzhe,Yu Yi,Wang Yuanyuan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology

Reference106 articles.

1. Relation between depression and sociodemographic factors;Akhtar-Danesh;Int. J. Ment. Heal. Syst.,2007

2. Optuna: a next-generation hyperparameter optimization framework;Akiba,2019

3. Interpersonal processes in social phobia;Alden;Clin. Psychol. Rev.,2004

4. Glucocorticoid receptor gene methylation moderates the association of childhood trauma and cortisol stress reactivity;Alexander;Psychoneuroendocrinology,2018

5. Toward brief “red flags” for autism screening: the short autism spectrum quotient and the short quantitative checklist in 1,000 cases and 3,000 controls;Allison;J. Am. Acad. Child Adolesc. Psychiatry,2012

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1. Linear and curvilinear association of pain tolerance and social anxiety symptoms among youth with different subgroups of childhood trauma;Journal of Affective Disorders;2024-06

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