Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)-Reference-Cited by-同舟云学术

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Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)

Published:2024-09 Issue: Volume: Page:102673
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Atmakuru Anirudh^ORCID,Shahini Alen^ORCID,Chakraborty Subrata^ORCID,Seoni Silvia^ORCID,Salvi Massimo^ORCID,Hafeez-Baig Abdul^ORCID,Rashid Sadaf,Tan Ru San^ORCID,Barua Prabal Datta^ORCID,Molinari Filippo^ORCID,Acharya U Rajendra

Publisher

Elsevier BV

Reference216 articles.

1. Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough?;Allen;J Affect Disord,2019

2. Predicting post-discharge self-harm incidents using disease comorbidity networks: A retrospective machine learning study;Xu;J Affect Disord,2020

3. Identification of suicidality in adolescent major depressive disorder patients using sMRI: A machine learning approach;Hong;J Affect Disord,2021

4. A survey on big data-driven digital phenotyping of mental health;Liang;Information Fusion,2019

5. Detecting risk of suicide attempts among Chinese medical college students using a machine learning algorithm;Shen;J Affect Disord,2020

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