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Identification of Chinese medicine syndromes in persistent insomnia associated with major depressive disorder: a latent tree analysis

机译：伴有严重抑郁症的持续性失眠中医证候的识别：潜伏树分析

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1. Identification of Chinese medicine syndromes in persistent insomnia associated with major depressive disorder: a latent tree analysis [J] . Wing-Fai Yeung, Ka-Fai Chung, Nevin Lian-Wen Zhang, Chinese Medicine . 2016,第1期

机译：伴有严重抑郁症的持续性失眠中医证候的识别：潜在树分析
2. Identification and classification of traditional Chinese medicine syndrome types among senior patients with vascular mild cognitive impairment using latent tree analysis [J] . Chen, Fu1, Nevin, 结合医学学报：英文版 . 2017,第003期

机译：潜伏树分析法对老年血管轻度认知障碍中医证型类型的识别与分类
3. The selective orexin-2 receptor antagonist seltorexant improves sleep: An exploratory double-blind, placebo controlled, crossover study in antidepressant-treated major depressive disorder patients with persistent insomnia [J] . Sander Brooks, Gabri?l E Jacobs, Peter de Boer, Journal of psychopharmacology . 2019,第2期

机译：选择性orexin-2受体拮抗剂SeltoRexant改善了睡眠：抗抑郁药治疗的主要抑郁症患者的探索双盲，安慰剂控制，交叉研究，持续失眠症
4. Exploring Li-Fa-Fang-Yao rules of major depressive disorder in traditional Chinese medicine through text mining [C] . Junping Zhan, Guang Zheng, Mengmeng Song, IEEE International Conference on Bioinformatics and Biomedicine . 2013

机译：通过文本挖掘探索中医重度抑郁症的李发芳瑶法则
5. Identification of risk and protective factors among adults with bipolar disorder with major depressive disorder comparison group [D] . Barber, Christina L. 2008

机译：患有重度抑郁症的双相情感障碍成年人的危险因素和保护因素的比较组
6. Identification of Chinese medicine syndromes in persistent insomnia associated with major depressive disorder: a latent tree analysis [O] . Wing-Fai Yeung, Ka-Fai Chung, Nevin Lian-Wen Zhang, 2016

机译：伴有严重抑郁症的持续性失眠中医证候的识别：潜伏树分析
7. Identification of Chinese medicine syndromes in persistent insomnia associated with major depressive disorder: a latent tree analysis [O] . Yeung WF, Ho YYF, Yung KP, 2016

机译：鉴别与重度抑郁症相关的持续性失眠的中医证候：潜在树分析

Identification of Chinese medicine syndromes in persistent insomnia associated with major depressive disorder: a latent tree analysis

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