Original paper
Machine-learning models for depression and anxiety in individuals with immune-mediated inflammatory disease
Abstract
Individuals with immune-mediated inflammatory disease (IMID) have a higher prevalence of psychiatric disorders than the general population. We utilized machine-learning to identify patient-reported outcome measures (PROMs) that accurately predict major depressive disorder (MDD) and anxiety disorder in an IMID population. Participants with IMID were enrolled in a cohort study and completed a Structured Clinical Interview for DSM-IV-TR Axis I...
Paper Details
Title
Machine-learning models for depression and anxiety in individuals with immune-mediated inflammatory disease
Published Date
Jul 1, 2020
Volume
134
Pages
110126 - 110126
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History