Separating generalized anxiety disorder from major depression using clinical, hormonal, and structural MRI data: A multimodal machine learning study

BACKGROUND: Generalized anxiety disorder (GAD) is difficult to recognize and hard to separate from major depression (MD) in clinical settings. Biomarkers might support diagnostic decisions. This study used machine learning on multimodal biobehavioral data from a sample of GAD, MD and healthy subject...

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Detalles Bibliográficos
Autores principales: Hilbert, Kevin, Lueken, Ulrike, Muehlhan, Markus, Beesdo‐Baum, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346520/
https://www.ncbi.nlm.nih.gov/pubmed/28293473
http://dx.doi.org/10.1002/brb3.633

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346520/
https://www.ncbi.nlm.nih.gov/pubmed/28293473
http://dx.doi.org/10.1002/brb3.633

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