Highlighting psychological pain avoidance and decision‐making bias as key predictors of suicide attempt in major depressive disorder—A novel investigative approach using machine learning-Reference-Cited by-同舟云学术

Highlighting psychological pain avoidance and decision‐making bias as key predictors of suicide attempt in major depressive disorder—A novel investigative approach using machine learning

Published:2021-09-20 Issue: Volume: Page:
ISSN:0021-9762
Container-title:Journal of Clinical Psychology
language:en
Short-container-title:J Clin Psychol

Author:

Ji Xinlei¹^ORCID,Zhao Jiahui¹^ORCID,Fan Lejia¹^ORCID,Li Huanhuan²^ORCID,Lin Pan³^ORCID,Zhang Panwen¹^ORCID,Fang Shulin¹^ORCID,Law Samuel⁴^ORCID,Yao Shuqiao¹⁵⁶^ORCID,Wang Xiang¹⁵⁶^ORCID

Affiliation:

1. Medical Psychological Center, The Second Xiangya Hospital Central South University Changsha Hunan China

2. Department of Psychology Renmin University of China Beijing China

3. Department of Psychology and Cognition and Human Behavior Key Laboratory of Hunan Province Hunan Normal University Changsha Hunan China

4. Department of Psychiatry University of Toronto Toronto Ontario Canada

5. Medical Psychological Institute of Central South University Changsha Hunan China

6. China National Clinical Research Center on Mental Disorders (Xiangya) Changsha Hunan China

Publisher

Wiley

Subject

Arts and Humanities (miscellaneous),Clinical Psychology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jclp.23246

Reference104 articles.

1. The Importance of High Distress Tolerance in the Relationship between Nonsuicidal Self-Injury and Suicide Potential

2. Heightened aversion to risk and loss in depressed patients with a suicide attempt history;Baek K.;Scientific Reports,2017

3. Male risk-taking as a context-sensitive signaling device

4. Anxiety and Impulsiveness Related to Psychomotor Efficiency

5. Suicide as escape from self.

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