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Tailored online eating disorder prevention and health promotion for women: Results of a dissemination trial
Your new experience awaits. Try the new design now and help us make it even better CLINICAL TRIAL article This article is part of the Research TopicDigital Medicine in Psychiatry and Neurology - Chances and Challenges for Mobile Scalable Monitoring and InterventionView all 11 articles Frontiers' quality Guardians of scientific integrity Our research integrity and auditing teams lead the rigorous process that protects the quality of the scientific record More about research integrity
Machine learning and Bayesian network analyses identifies associations with insomnia in a national sample of 31,285 treatment-seeking college students | BMC Psychiatry | Full Text
The current study was a secondary analysis of 39,194 treatment-seeking participants across 26 U.S. colleges and universities who participated in screening for an ongoing randomized controlled trial investigating the effectiveness of a transdiagnostic coached mobile mental health intervention that used population-level screening for engaging college students in tailored services for preventing and treating anxiety, depression, and eating disorders (clinicaltrial.gov; ID: NCT04162847).
Correction: Action recommendations review in community-based therapy and depression and anxiety outcomes: a machine learning approach - BMC Psychiatry
Correction: Action recommendations review in community-based therapy and depression and anxiety outcomes: a machine learning approach BMC Psychiatry volume 24, Article number: 204 (2024) Cite this article The Original Article was published on 16 February 2024 Following publication of the original article [1], the authors identified an error in the author name of Amit Spinrad. The incorrect author name is: Amit Spinard. The correct author name is: Amit Spinrad.
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