Identifying signals associated with psychiatric illness utilizing language and images posted to Face...
Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook
About this item
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Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Prior research has identified associations between social media activity and psychiatric diagnoses; however, diagnoses are rarely clinically confirmed. Toward the goal of applying novel approaches to improve outcomes, research using real patient data is necessary. We collected 3,404,959 Facebook messages and 142,390 images across 223 participants (...
Alternative Titles
Full title
Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7713057
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7713057
Other Identifiers
ISSN
2334-265X
E-ISSN
2334-265X
DOI
10.1038/s41537-020-00125-0
