@article{ref1,
title="Comparing suicide risk insights derived from clinical and social media data",
journal="AMIA annual symposium proceedings",
year="2021",
author="Thiruvalluru, Rohith K. and Gaur, Manas and Thirunarayan, Krishnaprasad and Sheth, Amit and Pathak, Jyotishman",
volume="2021",
number="",
pages="364-373",
abstract="Suicide is the 10(th) leading cause of death in the US and the 2(nd) leading cause of death among teenagers. Clinical and psychosocial factors contribute to suicide risk (SRFs), although documentation and self-expression of such factors in EHRs and social networks vary. This study investigates the degree of variance across EHRs and social networks. We performed subjective analysis of SRFs, such as self-harm, bullying, impulsivity, family violence/discord, using >13.8 Million clinical notes on 123,703 patients with mental health conditions. We clustered clinical notes using semantic embeddings under a set of SRFs. Likewise, we clustered 2180 suicidal users on r/SuicideWatch (~30,000 posts) and performed comparative analysis. Top-3 SRFs documented in EHRs were depressive feelings (24.3%), psychological disorders (21.1%), drug abuse (18.2%). In r/SuicideWatch, gun-ownership (17.3%), self-harm (14.6%), bullying (13.2%) were Top-3 SRFs. Mentions of Family violence, racial discrimination, and other important SRFs contributing to suicide risk were missing from both platforms.<p /> <p>Language: en</p>",
language="en",
issn="1559-4076",
doi="",
url="http://dx.doi.org/"
}