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Topic model for Chinese medicine diagnosis and prescription regularities analysis: Case on diabetes

  • Thinking and Methodology
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Abstract

Induction of common knowledge or regularities from large-scale clinical data is a vital task for Chinese medicine (CM). In this paper, we propose a data mining method, called the Symptom-Herb-Diagnosis topic (SHDT) model, to automatically extract the common relationships among symptoms, herb combinations and diagnoses from large-scale CM clinical data. The SHDT model is one of the multi-relational extensions of the latent topic model, which can acquire topic structure from discrete corpora (such as document collection) by capturing the semantic relations among words. We applied the SHDT model to discover the common CM diagnosis and treatment knowledge for type 2 diabetes mellitus (T2DM) using 3 238 inpatient cases. We obtained meaningful diagnosis and treatment topics (clusters) from the data, which clinically indicated some important medical groups corresponding to comorbidity diseases (e.g., heart disease and diabetic kidney diseases in T2DM inpatients). The results show that manifestation sub-categories actually exist in T2DM patients that need specific, individualised CM therapies. Furthermore, the results demonstrate that this method is helpful for generating CM clinical guidelines for T2DM based on structured collected clinical data.

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Authors and Affiliations

  1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China

    Xiao-ping Zhang  (张小平), Xue-zhong Zhou  (周雪忠), Hou-kuan Huang  (黄厚宽) & Qi Feng  (冯 奇)

  2. Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China

    Shi-bo Chen  (陈世波)

  3. China Academy of Chinese Medical Sciences, Beijing, 100700, China

    Bao-yan Liu  (刘保延)

Authors
  1. Xiao-ping Zhang  (张小平)
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  2. Xue-zhong Zhou  (周雪忠)
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  3. Hou-kuan Huang  (黄厚宽)
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  4. Qi Feng  (冯 奇)
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  5. Shi-bo Chen  (陈世波)
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  6. Bao-yan Liu  (刘保延)
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Corresponding author

Correspondence to Shi-bo Chen  (陈世波).

Additional information

Supported by Scientific Breakthrough Program of Beijing Municipal Science & Technology Commission, China (No. D08050703020803, No. D08050703020804); China Key Technologies R&D Programme (No. 2007BA110B06-01); Major State Basic Research Development Program of China (973 Program, No. 2006CB504601); National Nature Science Foundation of China (No. 90709006); National Science and Technology Major Project of the Ministry of Science and Technology of China (No. 2009ZX10005-019)

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Zhang, Xp., Zhou, Xz., Huang, Hk. et al. Topic model for Chinese medicine diagnosis and prescription regularities analysis: Case on diabetes. Chin. J. Integr. Med. 17, 307–313 (2011). https://doi.org/10.1007/s11655-011-0699-x

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  • DOI: https://doi.org/10.1007/s11655-011-0699-x

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