Cargando…
Combining machine learning algorithms for prediction of antidepressant treatment response
OBJECTIVES: Predictors for unfavorable treatment outcome in major depressive disorder (MDD) applicable for treatment selection are still lacking. The database of a longitudinal multicenter study on 1079 acutely depressed patients, performed by the German research network on depression (GRND), allows...
Autores principales: | Kautzky, Alexander, Möller, Hans‐Juergen, Dold, Markus, Bartova, Lucie, Seemüller, Florian, Laux, Gerd, Riedel, Michael, Gaebel, Wolfgang, Kasper, Siegfried |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839691/ https://www.ncbi.nlm.nih.gov/pubmed/33141944 http://dx.doi.org/10.1111/acps.13250 |
Ejemplares similares
-
Treatment Response of Add-On Esketamine Nasal Spray in Resistant Major Depression in Relation to Add-On Second-Generation Antipsychotic Treatment
por: Dold, Markus, et al.
Publicado: (2020) -
Beneficial effects of Silexan on co-occurring depressive symptoms in patients with subthreshold anxiety and anxiety disorders: randomized, placebo-controlled trials revisited
por: Bartova, Lucie, et al.
Publicado: (2022) -
A factor analytic comparison of three commonly used depression scales (HAMD, MADRS, BDI) in a large sample of depressed inpatients
por: Seemüller, Florian, et al.
Publicado: (2023) -
Efficacy of Silexan in patients with anxiety disorders: a meta-analysis of randomized, placebo-controlled trials
por: Dold, Markus, et al.
Publicado: (2023) -
The sociodemographic and clinical profile of patients with major depressive disorder receiving SSRIs as first-line antidepressant treatment in European countries
por: Fugger, Gernot, et al.
Publicado: (2022)