Prediction of Suicide Risk Using Machine Learning and Big Data-Reference-Cited by-同舟云学术

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Prediction of Suicide Risk Using Machine Learning and Big Data

Published:2023 Issue: Volume: Page:173-188
ISSN:
Container-title:Digital Mental Health
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Author:

Roza Thiago Henrique,Salgado Thyago Antonelli,Machado Cristiane Santos,Watts Devon,Bebber Júlio,Freitas Thales,Rabelo-da-Ponte Francisco Diego,Kapczinski Flavio,Passos Ives Cavalcante

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-10698-9_11

Reference63 articles.

1. World Health Organization (2019) Suicide in the World—Global Health Estimates. WHO

2. Curtin SC, Warner M, Hedegaard H (2016) Increase in Suicide in the United States, 1999-2014. NCHS Data Brief 1–8.

3. Katz C, Bolton J, Sareen J. The prevalence rates of suicide are likely underestimated worldwide: why it matters. Soc Psychiatry Psychiatr Epidemiol. 2016;51:125–7.

4. Bakst SS, Braun T, Zucker I, Amitai Z, Shohat T. The accuracy of suicide statistics: are true suicide deaths misclassified? Soc Psychiatry Psychiatr Epidemiol. 2016;51:115–23.

5. World Health Organization (2014) Preventing Suicide: A Global Imperative.

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1. Early warning model of adolescent mental health based on big data and machine learning;Soft Computing;2023-11-29

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