Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach

Many variables have been linked to different course trajectories of depression. These findings, however, are based on group comparisons with unknown translational value. This study evaluated the prognostic value of a wide range of clinical, psychological, and biological characteristics for predictin...

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Detalles Bibliográficos
Autores principales: Dinga, Richard, Marquand, Andre F., Veltman, Dick J., Beekman, Aartjan T. F., Schoevers, Robert A., van Hemert, Albert M., Penninx, Brenda W. J. H., Schmaal, Lianne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218451/
https://www.ncbi.nlm.nih.gov/pubmed/30397196
http://dx.doi.org/10.1038/s41398-018-0289-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218451/
https://www.ncbi.nlm.nih.gov/pubmed/30397196
http://dx.doi.org/10.1038/s41398-018-0289-1

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