Suicidal ideation prediction based on social media posts using a GAN-infused deep learning framework with genetic optimization and word embedding fusion-Reference-Cited by-同舟云学术

Suicidal ideation prediction based on social media posts using a GAN-infused deep learning framework with genetic optimization and word embedding fusion

Published:2024-02-13 Issue:4 Volume:16 Page:2577-2593
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Kancharapu Rohini^ORCID,Ayyagari Sri Nagesh^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s41870-023-01725-6.pdf

Reference33 articles.

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2. Fleischmann A et al (2016) Overview evidence on interventions for population suicide with an eye to identifying best-supported strategies for LMICs. Glob Ment Health 3:e5. https://doi.org/10.1017/gmh.2015.27

3. Vijayakumar L (2017) Challenges and opportunities in suicide prevention in South-East Asia. WHO South-East Asia J Public Health 6(1):30. https://doi.org/10.4103/2224-3151.206161

4. Bachmann S (2018) Epidemiology of suicide and the psychiatric perspective. IJERPH 15(7):1425. https://doi.org/10.3390/ijerph15071425

5. Sinyor M, Tse R, Pirkis J (2017) Global trends in suicide epidemiology. Curr Opin Psychiatry 30(1):1–6. https://doi.org/10.1097/YCO.0000000000000296

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