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Predicting the naturalistic course in anxiety disorders using clinical and biological markers: a machine learning approach

BACKGROUND: Disease trajectories of patients with anxiety disorders are highly diverse and approximately 60% remain chronically ill. The ability to predict disease course in individual patients would enable personalized management of these patients. This study aimed to predict recovery from anxiety...

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Detalles Bibliográficos
Autores principales:	Bokma, Wicher A., Zhutovsky, Paul, Giltay, Erik J., Schoevers, Robert A., Penninx, Brenda W.J.H., van Balkom, Anton L.J.M., Batelaan, Neeltje M., van Wingen, Guido A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cambridge University Press 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8711102/ https://www.ncbi.nlm.nih.gov/pubmed/32524918 http://dx.doi.org/10.1017/S0033291720001658

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