Special Issue: Traditional Chinese Medicine
| 1 Normile D.The new face of traditional Chinese medicine.
2 Zhu WF.Differentiation of syndrome pattern elements. Beijing: People’s Medical Publishing House. 2008: 6-12. Chinese.
3 Zhao GQ.Perplexity and outlet of TCM syndrome essence’s study.
4 China State Administration of Traditional Chinese Medicine. Diagnostic and therapeutic effect evaluation criteria of diseases and syndromes in traditional Chinese medicine. Nanjing: Nanjing University Press. 1994. Chinese.
5 China State Bureau of Technical Supervision. National standards on clinic terminology of traditional Chinese medical diagnosis and treatment-—Syndromes, GB/T 16751.2—1997. Beijing: China Standards Press. 1997. Chinese.
6 Wang J, Xiong X, Liu W.Traditional Chinese medicine syndromes for essential hypertension: a literature analysis of 13,272 patients.
7 Liu GP, Li GZ, Wang YL, Wang YQ.Modelling of inquiry diagnosis for coronary heart disease in traditional Chinese medicine by using multi-label learning.
8 8 Fu C, Zhang NL, Chen BX, Chen ZR, Jin XL, Guo RJ, Chen ZG, Zhang YL. Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis. [2016-08- 26]. . Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis. [2016-08- 26]. http://arxiv.org/abs/1601.06923.
9 Xu ZX, Zhang NL, Wang YQ, Liu GP, Xu J, Liu TF,Liu AH.Statistical validation of traditional Chinese medicine syndrome postulates in the context of patients with cardiovascular disease.
10 Pearl J.
11 Zhang NL.Hierarchical latent class models for cluster analysis.
12 Aldrich J.R.A. Fisher and the making of maximum likelihood 1912-1922.
13 Schwarz G.Estimating the dimension of model.
14 Bartholomew DJ, Knott M.
15 Mourad R, Sinoquet C, Zhang NL, Liu TF, Leray P.A survey on latent tree models and applications.
16 Liu TF, Zhang NL, Chen PX, Liu AH, Poon LKM, Wang Y.Greedy learning of latent tree models for multidimensional clustering.
17 Chen T, Zhang NL, Liu TF, Wang Y, Poon LKM.Modelbased multidimensional clustering of categorical data.
18 18 Zhang NL, Poon LKM, Liu TF. Lantern software. [2016- 01-18]. . Lantern software. [2016- 01-18]. http://www.cse.ust.hk/faculty/lzhang/tcm/.
19 van Smeden M, Naaktgeboren CA, Reitsma JB, Moons KG, de Groot JA. Latent class models in diagnostic studies when there is no reference standard—a systematic review.
20 van Loo HM, de Jonge P, Romeijn JW, Kessler RC, Schoevers RA. Data-driven subtypes of major depressive disorder: a systematic review.
21 Wasmus A, Kindel P, Mattussek S, Raspe HH.Activity and severity of rheumatoid arthritis in Hannover/FRG and in one regional referral center.
22 Sullivan PF, Smith W, Buchwald D.Latent class analysis of symptoms associated with chronic fatigue syndrome and fi bromyalgia.
23 Yang X, Chongsuvivatwong V, Lerkiatbundit S, Ye J, Ouyang X, Yang E, Sriplung H.Identifying the Zheng in psoriatic patients based on latent class analysis of traditional Chinese medicine symptoms and signs.
24 Vermunt JK, Magidson J.Latent class cluster analysis. In: Hagenaars JA, McCutcheon AL. Advances in latent class analysis. Cambridge: Cambridge University Press. 2002: 89-106.
25 Yang WY, Meng FY, Jiang YN, Hu H, Guo J, Fu YL.Diagnostics of traditional Chinese medicine. Beijing: Xueyuan Press. 1998. Chinese.
26 Linstone HA, Turoff M.The Delphi method: techniques and applications. Vol. 29. Boston: Addison-Wesley Publishing Company, Inc. 1975.
27 Zhang NL, Yuan SH, Wang TF, Zhao Y, Wang Y, Liu TF, Wang QG.Latent structure analysis and syndrome differentiation for the integration of traditional Chinese medicine and Western medicine (I): basic principle.
28 Zhang GZ, Wang P, Wang JS, Jiang CY, Deng BW, Li P, Zhao YM, Liu WL, Zhai X, Chen WW, Zeng L, Zhou DM, Sun LY, Li YY.Study on the distribution and development rules of TCM syndromes of 2 651 psoriasis vulgaris cases.
29 Zhang NL, Zhou XZ, Chen T, He LY, Liu BY. The interpretation variable clustering results in the context of TCM syndrome research.
30 Xue J, Wang Y, Han R. Factor analysis on the distribution of Chinese medicine syndromes in patients with hyperlipidemia in Xinjiang region.
31 Zhang NL, Yuan SH, Chen T, Wang Y.Latent tree models and diagnosis in traditional Chinese medicine.
32 Zhang NL, Yuan S, Chen T, Wang Y.Statistical validation of traditional Chinese medicine theories.
33 Zhao Y, Zhang NL, Wang T, Wang Q.Discovering symptom co-occurrence patterns from 604 cases of depressive patient data using latent tree models.
34 Zhang NL, Yuan SH. Implicit structure model and research on syndrome differentiation of Chinese medicine (I): Basic thought and analytic tool of implicit structure.
35 Zhang NL, Yuan SH, Chen T, Wang Y. Implicit structure model and research on syndrome differentiation of Chinese medicine (II): data analysis of kidney deficiency.
36 Zhang L, Yuan SH, Chen T, Wang Y. Implicit structure model and research on syndrome differentiation of Chinese medicine (III): syndrome differentiation from model and syndrome differentiation by experts.
37 Wang TF, Zhang NL, Zhao Y, Wang Y, Wu XY, Yuan SH, Wang ZY, Du CF, Yu CG, Chen T, Poon KM, Wang QG. Latent structure models and their applications in TCM syndrome research.
38 Zhang NL, Xu ZX, Wang YQ, Liu TF, Liu GP, Li FF, Yan HX, Guo R. Latent structure analysis and syndrome differentiation for the integration of traditional Chinese medicine and Western medicine (II): joint clustering.
|||Tara Rajendran. Addressing the need for personalizing music therapy in integrative oncology. Journal of Integrative Medicine, 2022, 20(4): 281-283.|
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|||Cai-lian Fana, Wan-jun Caib, Meng-nan Ye, Miao Chen, Yi Dai. Qili Qiangxin, a compound herbal medicine formula, alleviates hypoxia-reoxygenation-induced apoptotic and autophagic cell death via suppression of ROS/AMPK/mTOR pathway in vitro. Journal of Integrative Medicine, 2022, 20(4): 365-375.|
|||Shang-jin Song, Xuan Liu, Qing Ji, Da-zhi Sun, Li-juan Xiu, Jing-yu Xu, Xiao-qiang Yue. Ziyin Huatan Recipe, a Chinese herbal compound, inhibits migration and invasion of gastric cancer by upregulating RUNX3 expression. Journal of Integrative Medicine, 2022, 20(4): 355-364.|
|||Vibha Malhotra, Joanna Harnett, Erica McIntyre, Amie Steel, Keith Wong, Bandana Saini. To “tell or not to tell”—Exploring disclosure about medicine use by people living with sleep disorders. Journal of Integrative Medicine, 2022, 20(4): 338-347.|
|||Maryam Azimi, Hanieh Niayesh, Mahboobeh Raeiszadeh, Sedigheh Khodabandeh-shahraki. Efficacy of the herbal formula of Foeniculum vulgare and Rosa damascena on elderly patients with functional constipation: A double-blind randomized controlled tria. Journal of Integrative Medicine, 2022, 20(3): 230-236.|
|||Zeinab Vafaeipour, Bibi Marjan Razavi, Hossein Hosseinzadeh. Effects of turmeric (Curcuma longa) and its constituent (curcumin) on the metabolic syndrome: An updated review. Journal of Integrative Medicine, 2022, 20(3): 193-203.|
|||Marisa Casal. Improving the health and treatment success rates of in vitro fertilization patients with traditional chinese medicine: need for more robust evidence and innovative approaches. Journal of Integrative Medicine, 2022, 20(3): 187-192.|
|||Ning Guo, Fei Wu, Mei Wu, Yuan Wang, Qing Lang, Xiao Lin, Yi Feng. Progress in the design and quality control of placeboes for clinical trials of traditional Chinese medicine . Journal of Integrative Medicine, 2022, 20(3): 204-212.|
|||Tareq A. Wani, Zahoor A. Kaloo, Nisar A. Dangroo. Aconitum heterophyllum Wall. ex Royle: A critically endangered medicinal herb with rich potential for use in medicine. Journal of Integrative Medicine, 2022, 20(2): 104-113.|
|||Mohammad Fazil, Sadia Nikhat. Why the “sugars” in traditional Unani formulations are a pivotal component: A viewpoint perspective. Journal of Integrative Medicine, 2022, 20(2): 91-95.|
|||Yan-jun Lin, Kun-li Jiao, Bo Liu, Lu Fang, Shu Meng. Antiplatelet and myocardial protective effect of shexiang tongxin dropping pill in patients undergoing percutaneous coronary intervention: A randomized controlled trial. Journal of Integrative Medicine, 2022, 20(2): 126-134.|
|||Deng-chao Wang, Miao Yu, Wen-xian Xie, Li-yan Huang, Jian Wei, Yue-hua Lei. Meta-analysis on the effect of combining Lianhua Qingwen with Western medicine to treat coronavirus disease 2019. Journal of Integrative Medicine, 2022, 20(1): 26-33.|
|||Mahlagha Dehghan, Alireza Ghanbari, Fatemeh Ghaedi Heidari, Parvin Mangalian, Mohammad Ali Zakerid. Use of complementary and alternative medicine in general population during COVID-19 outbreak: A survey in Iran. Journal of Integrative Medicine, 2022, 20(1): 45-51.|
|||Ofer Baranovitch, Meirav Wolff-Bar, Meora Feinmesser, Chen Sade-Zaltz, Ilan Tsarfaty, Victoria Neiman. Searching for the emotional roots of breast cancer: A cross-disciplinary analysis integrating psychology, Chinese medicine, and oncology biomarkers. Journal of Integrative Medicine, 2022, 20(1): 57-64.|