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

@article{Wardenaar2014TheEO,
  title={The effects of co-morbidity in defining major depression subtypes associated with long-term course and severity.},
  author={K. Wardenaar and H. V. van Loo and T. Cai and M. Fava and M. Gruber and J. Li and P. de Jonge and A. Nierenberg and M. Petukhova and S. Rose and N. Sampson and R. Schoevers and M. Wilcox and J. Alonso and E. Bromet and B. Bunting and S. Florescu and A. Fukao and O. Gureje and C. Hu and Y. Huang and A. Karam and D. Levinson and M. E. Medina Mora and J. Posada-Villa and K. Scott and N. I. Taib and M. Viana and M. Xavier and Z. Zarkov and R. Kessler},
  journal={Psychological medicine},
  year={2014},
  volume={44 15},
  pages={
          3289-302
        }
}
BACKGROUND Although variation in the 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 can be refined by added information about co-morbid conditions. The current report presents results on this question. METHOD Data came from 8261 respondents with lifetime DSM-IV MDD in the World… Expand
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