title: [Predictive study on properties of traditional Chinese medicine components based on pharmacological effects].
abstract: OBJECTIVE
  To study the relationship between pharmacological effects and properties of traditional Chinese medicine by the decision tree algorithm.
  
  
  METHODS
  Based on of pharmacological effects of traditional Chinese medicine, the decision tree algorithm was applied in the study on the relationship between pharmacological effects and properties of traditional Chinese medicines. A model was established with the decision tree algorithm for the purpose of predicting the properties of traditional Chinese medicine components.
  
  
  RESULTS
  The established model was reliable and stable, and could be used to predict the properties of traditional Chinese medicine components.
  
  
  CONCLUSIONS
  The prediction for the properties of traditional Chinese medicine components with a decision tree model could reflect the theoretical connotation of the properties of traditional Chinese medicine components to some extent and provide a new method for studying the properties of traditional Chinese medicine components.
authors.forename: Ya-Nan
authors.initials: YN
authors.lastname: Hu
authors.forename: Ying-Long
authors.initials: YL
authors.lastname: Ren
authors.forename: Jia
authors.initials: J
authors.lastname: Cao
authors.forename: Mei
authors.initials: M
authors.lastname: Wang
authors.forename: Yun
authors.initials: Y
authors.lastname: Wang
authors.forename: Yan-Jiang
authors.initials: YJ
authors.lastname: Qiao
mesh_terms: D004338:Drug Combinations; D004358:Drug Therapy; D004365:Drugs, Chinese Herbal / Q000737:chemistry* / Q000494:pharmacology*; D006801:Humans; D008516:Medicine, Chinese Traditional
chemical_list: D004338:Drug Combinations; D004365:Drugs, Chinese Herbal