title: [Research and implementation of adverse reaction automatic warning algorithm on Chinese medicine injection].
abstract: OBJECTIVE
  To provide analytical data and automatic method for more quickly and accurately discovering warning signals of adverse reactions of traditional Chinese medicine (TCM) injections from a large number of adverse reaction data.
  
  
  METHODS
  Constructed the TCM injection adverse reaction monitoring system, integrated of multiple mining algorithms of warning signals of adverse reactions and automatically generate early warning analysis, and extended the algorithm to achieve better effect of warning and analysis.
  
  
  RESULTS
  By data validation, the system can provide consistent warning results with the actual situation.
  
  
  CONCLUSIONS
  The established system has good scalability, it can provide warning analysis of adverse reaction data from multiple sources, and provide a basis for decision making to experts in the field.
authors.affiliation: The PLA Navy General Hospital, Beijing 100048, China. joyear2008@yahoo.com.cn
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhuang
authors.forename: Bang-Tie
authors.initials: BT
authors.lastname: Xie
authors.forename: Yan-Ming
authors.initials: YM
authors.lastname: Xie
authors.forename: Sheng-Xin
authors.initials: SX
authors.lastname: Weng
mesh_terms: D016907:Adverse Drug Reaction Reporting Systems / Q000295:instrumentation* / Q000592:standards; D000465:Algorithms; D004342:Drug Hypersensitivity / Q000453:epidemiology; D004365:Drugs, Chinese Herbal / Q000008:administration & dosage / Q000009:adverse effects*; D006801:Humans
chemical_list: D004365:Drugs, Chinese Herbal