Machine learning based suicidality risk prediction in early adolescence-Reference-Cited by-同舟云学术

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Machine learning based suicidality risk prediction in early adolescence

Published:2023-10 Issue: Volume:88 Page:103716
ISSN:1876-2018
Container-title:Asian Journal of Psychiatry
language:en
Short-container-title:Asian Journal of Psychiatry

Author:

Wen Xue,Kang Yuqi,Li, Yuan,Yuan Mengyuan,Li Yonghan,Xu Baoyu,Su Puyu,Wang Gengfu

Funder

Anhui Medical University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,General Psychology,General Medicine

Reference10 articles.

1. Interpretable machine learning for fall prediction among older adults in China;Chen;Am. J. Prev. Med.,2023

2. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement;Collins;Bmj,2015

3. Self-harm as a predisposition for suicide attempts: a study of adolescents' deliberate self-harm, suicidal ideation, and suicide attempts;Duarte;Psychiatry Res.,2020

4. Risk factors for suicidal thoughts and behaviors: a meta-analysis of 50 years of research;Franklin;Psychol. Bull.,2017

5. A machine learning model to predict suicidal tendencies in students;Mukku;Asian J. Psychiatr.,2023

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. Establishment of a risk prediction model for suicide attempts in first-episode and drug naïve patients with major depressive disorder;Asian Journal of Psychiatry;2023-10

2. Does machine-learning-based prediction of suicide risk actually reduce rates of suicide: A critical examination;Asian Journal of Psychiatry;2023-10

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