This study investigates the degree of variance across EHRs and social networks. We performed subjective analysis of SRFs, such as self-harm, bullying, ...
May 17, 2021 · This study investigates the degree of variance across EHRs and social networks. We performed subjective analysis of SRFs, such as self-harm, bullying, ...
This work develops deep learning algorithms to assess suicide risk in terms of severity and temporality from Reddit data based on the Columbia Suicide Severity ...
Sep 28, 2021 · This study investigates the degree of variance across EHRs and social networks. We performed subjective analysis of SRFs, such as self-harm, ...
Thiruvalluru, R. K., Gaur, M., Thirunarayan, K., Sheth, A., & Pathak, J. (2021). Comparing Suicide Risk Insights derived from Clinical and Social Media data.
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Jun 27, 2024 · This systematic review aimed to determine how machine learning and data analysis can be applied to text-based digital media data to understand mental health ...
Oct 25, 2024 · This Special Communication reviews current research on the association of social media use with suicide risk among youth and outlines ...
Oct 7, 2020 · In this study, Artificial Neural Network (ANN) models were constructed to predict suicide risk from everyday language of social media users.
Jun 17, 2024 · Emerging technologies promise more exact identification of patients who are at risk of suicide, opening the door for proactive responses.
The main aim of this research is to provide early detection of suicide ideation by evaluating online social media.