The effects of comorbidity in defining major depression subtypes associated with long-term course and severity

BACKGROUND: Although variation in long-term course of major depressive disorder (MDD) is not strongly predicted by existing symptom subtype distinctions, recent research suggests that prediction can be improved by using machine learning methods. However, it is not known whether these distinctions ca...

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Autori principali: Wardenaar, K. J., van Loo, H. M., Cai, T., Fava, M., Gruber, M. J., Li, J., de Jonge, P., Nierenberg, A. A., Petukhova, M. V., Rose, S., Sampson, N. A., Schoevers, R. A., Wilcox, M. A., Alonso, J., Bromet, E. J., Bunting, B., Florescu, S. E., Fukao, A., Gureje, O., Hu, C., Huang, Y. Q., Karam, A. N., Levinson, D., Medina Mora, M. E., Posada-Villa, J., Scott, K. M., Taib, N. I., Viana, M. C., Xavier, M., Zarkov, Z., Kessler, R. C.
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2014
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4180779/
https://ncbi.nlm.nih.gov/pubmed/25066141
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1017/S0033291714000993
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