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The prevalence and diagnostic classification of mixed features in patients with major depressive episodes: A multicenter study based on the DSM-5.

In Hee ShimJonghun LeeMoon-Doo KimYoung-Eun JungKyung Joon MinYoung-Joon KwonJi Sun KimKwanghun LeeYoung Sup WooBeomwoo NamJeong Seok SeoJung Goo LeeDuk-In JonInki SohnSung-Yong ParkBo-Hyun YoonWon-Myong Bahk
Published in: International journal of methods in psychiatric research (2019)
The prevalence of mixed features did not increase significantly when the DSM-5 was used, and patients with mixed states were more likely to be classified as having anxious distress and/or a cluster-B personality disorder in addition to mixed features.
Keyphrases
  • risk factors
  • machine learning
  • deep learning