title: Comparsion analysis of data mining models applied to clinical research in traditional Chinese medicine.
abstract: OBJECTIVE
  To help researchers selecting appropriate data mining models to provide better evidence for the clinical practice of Traditional Chinese Medicine (TCM) diagnosis and therapy.
  
  
  METHODS
  Clinical issues based on data mining models were comprehensively summarized from four significant elements of the clinical studies: symptoms, symptom patterns, herbs, and efficacy. Existing problems were further generalized to determine the relevant factors of the performance of data mining models, e.g. data type, samples, parameters, variable labels. Combining these relevant factors, the TCM clinical data features were compared with regards to statistical characters and informatics properties. Data models were compared simultaneously from the view of applied conditions and suitable scopes.
  
  
  RESULTS
  The main application problems were the inconsistent data type and the small samples for the used data mining models, which caused the inappropriate results, even the mistake results. These features, i.e. advantages, disadvantages, satisfied data types, tasks of data mining, and the TCM issues, were summarized and compared.
  
  
  CONCLUSIONS
  By aiming at the special features of different data mining models, the clinical doctors could select the suitable data mining models to resolve the TCM problem.
authors.forename: Yufeng
authors.initials: Y
authors.lastname: Zhao
authors.forename: Qi
authors.initials: Q
authors.lastname: Xie
authors.forename: Liyun
authors.initials: L
authors.lastname: He
authors.forename: Baoyan
authors.initials: B
authors.lastname: Liu
authors.forename: Kun
authors.initials: K
authors.lastname: Li
authors.forename: Xiang
authors.initials: X
authors.lastname: Zhang
authors.forename: Wenjing
authors.initials: W
authors.lastname: Bai
authors.forename: Lin
authors.initials: L
authors.lastname: Luo
authors.forename: Xianghong
authors.initials: X
authors.lastname: Jing
authors.forename: Ruili
authors.initials: R
authors.lastname: Huo
mesh_terms: D035843:Biomedical Research; D057225:Data Mining / Q000379:methods*; D006801:Humans; D008516:Medicine, Chinese Traditional