Predicting non-response to multimodal day clinic treatment in severely impaired depressed patients: a machine learning approach

A considerable number of depressed patients do not respond to treatment. Accurate prediction of non-response to routine clinical care may help in treatment planning and improve results. A longitudinal sample of N = 239 depressed patients was assessed at admission to multi-modal day clinic treatment,...

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Detalles Bibliográficos
Autores principales: Vetter, Johannes Simon, Schultebraucks, Katharina, Galatzer-Levy, Isaac, Boeker, Heinz, Brühl, Annette, Seifritz, Erich, Kleim, Birgit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971434/
https://www.ncbi.nlm.nih.gov/pubmed/35361809
http://dx.doi.org/10.1038/s41598-022-09226-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971434/
https://www.ncbi.nlm.nih.gov/pubmed/35361809
http://dx.doi.org/10.1038/s41598-022-09226-5

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