Vascular mild cognitive impairment,Medicine, Chinese traditional,Syndrome,Latent tree analysis," /> Vascular mild cognitive impairment,Medicine, Chinese traditional,Syndrome,Latent tree analysis,"/> Identification and classification of traditional Chinese medicine syndrome types among senior patients with vascular mild cognitive impairment using latent tree analysis
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Journal of Integrative Medicine ›› 2017, Vol. 15 ›› Issue (3): 186-200.doi: 10.1016/S2095-4964(17)60335-2

Special Issue: Traditional Chinese Medicine

• Research Article • Previous Articles     Next Articles

Identification and classification of traditional Chinese medicine syndrome types among senior patients with vascular mild cognitive impairment using latent tree analysis

Chen Fua, Nevin Lianwen Zhangb, Bao-xin Chena, Zhou Rong Chenb, Xiang Lan Jina, Rong-juan Guoa, Zhi-gang Chena, Yun-ling Zhanga   

  1. a Department of Neurology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078,China
    b Department of Computer Science and Engineering, The Hong Kong University of Science and Technology,Hong Kong, China
  • Received:2016-08-30 Accepted:2016-11-07 Online:2017-05-15 Published:2017-05-15
  • Contact: Yun-ling Zhang, MD, Professor; E-mail:
  • Supported by:
    Research on this article was supported by the Hong Kong Research Grants Council under grant NO. 16202515 and 16212516, Guangzhou HKUST Fok Ying Tung Research Institute, China Ministry of Science and Technology TCM Special Research Projects Program under grant No. 200807011, No. 201007002 and No. 201407001-8, Beijing Science and Technology Program under grant No. Z111107056811040, Beijing New Medical Discipline Development Program under grant No. XK100270569, and Project of Beijing University of Chinese Medicine under grant No. 2011-CXTD-23.


To treat patients with vascular mild cognitive impairment (VMCI) using traditional Chinese medicine (TCM), it is necessary to classify the patients into TCM syndrome types and to apply different treatments to different types. In this paper, we investigate how to properly carry out the classification for patients with VMCI aged 50 or above using a novel data-driven method known as latent tree analysis (LTA).


A cross-sectional survey on VMCI was carried out in several regions in Northern China between February 2008 and February 2012 which resulted in a data set that involves 803 patients and 93 symptoms. LTA was performed on the data to reveal symptom co-occurrence patterns, and the patients were partitioned into clusters in multiple ways based on the patterns. The patient clusters were matched up with syndrome types, and population statistics of the clusters are used to quantify the syndrome types and to establish classification rules.


Eight syndrome types are identified: Qi deficiency, Qi stagnation, Blood deficiency, Blood stasis, Phlegm-dampness, Fire-heat, Yang deficiency, and Yin deficiency. The prevalence and symptom occurrence characteristics of each syndrome type are determined. Quantitative classification rules are established for determining whether a patient belongs to each of the syndrome types.


A solution for the TCM syndrome classification problem for patients with VMCI and aged 50 or above is established based on the LTA of unlabeled symptom survey data. The results can be used as a reference in clinic practice to improve the quality of syndrome differentiation and to reduce diagnosis variances across physicians. They can also be used for patient selection in research projects aimed at finding biomarkers for the syndrome types and in randomized control trials aimed at determining the efficacy of TCM treatments of VMCI.

Key words: Vascular mild cognitive impairment, Medicine, Chinese traditional, Syndrome, Latent tree analysis

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