Ontology highlight
ABSTRACT: Background
Despite decades of research to better understand suicide risk and to develop detection and prevention methods, suicide is still one of the leading causes of death globally. While large-scale studies using real-world evidence from electronic health records can identify who is at risk, they have not been successful at pinpointing when someone is at risk. Personalized social media and online search history data, by contrast, could provide an ongoing real-world datastream revealing internal thoughts and personal states of mind.Objective
We conducted this study to determine the feasibility and acceptability of using personalized online information-seeking behavior in the identification of risk for suicide attempts.Methods
This was a cohort survey study to asse
SUBMITTER: Arean PA
PROVIDER: S-EPMC8138707 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature