title: [Diagnosis and treatment rule of traditional Chinese medicine for syndrome factors of chronic congestive heart failure: a study based on Shannon entropy method].
abstract: OBJECTIVE
  The primary aim of this research is to systematically sort out and analyze available clinical documents for chronic congestive heart failure in traditional Chinese medicine (TCM) and integrated traditional Chinese and Western medicine, and to explore the diagnosis and treatment rule of TCM syndrome factors with data mining method.
  
  
  METHODS
  Based on the China National Knowledge Internet (CNKI) and Chinese Biomedical Literature Database (CBM), using "chronic heart failure" or "chronic congestive heart failure" or "chronic cardiac insufficiency" and "traditional Chinese medicine" or "syndrome" or "integrated traditional Chinese and Western medicine" as keywords for literature selection, we used Shannon entropy nonlinear complex system method for the feature extraction after data preprocessing.
  
  
  RESULTS
  The statistics showed that yang deficiency, qi deficiency, blood stasis, water retention, yin deficiency, and turbid phlegm were principal TCM syndrome factors; herbs of qi-tonifying, blood-activating, water-draining, phlegm-dispelling, exterior-releasing, interior-warming were main drugs for clinical application. The symptoms and Chinese herbs which intimately connect with TCM syndrome factors were extracted, while their diagnostic contribution degrees were quantified by correlation coefficient. The symptoms which had high scores were general syndromes while the symptoms which had low scores were specific manifestations of a certain patient. Common Chinese herbs corresponding to each syndrome factor were picked out, indirectly reflecting their frequencies in clinical application.
  
  
  CONCLUSIONS
  Based on data mining of the relationship among the four diagnostic methods of TCM, syndrome factors and herbs, this study provided references for differentiation of TCM syndrome and selection of Chinese medicine according to clinical syndrome factors.
authors.affiliation: School of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
authors.forename: Chan
authors.initials: C
authors.lastname: Chen
authors.forename: Yong-mei
authors.initials: YM
authors.lastname: Meng
authors.forename: Peng
authors.initials: P
authors.lastname: Zhang
authors.forename: Juan
authors.initials: J
authors.lastname: Wang
authors.forename: Hui-hui
authors.initials: HH
authors.lastname: Zhao
authors.forename: Shu-zhen
authors.initials: SZ
authors.lastname: Guo
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
mesh_terms: D002908:Chronic Disease; D057225:Data Mining; D004365:Drugs, Chinese Herbal / Q000627:therapeutic use*; D006333:Heart Failure / Q000175:diagnosis* / Q000188:drug therapy*; D006801:Humans; D008516:Medicine, Chinese Traditional / Q000379:methods*; D012107:Research Design
chemical_list: D004365:Drugs, Chinese Herbal