• DocumentCode
    2923298
  • Title

    A novel method for medical adverse events classification

  • Author

    Chen, Rung-Ching ; Bau, Cho-Tsan ; Lee, I-Jing ; Huang, Chung-Yi

  • Author_Institution
    Dept. of Inf. Manage., Choayang Univ. of Technol., Taichung, Taiwan
  • fYear
    2011
  • fDate
    8-10 Nov. 2011
  • Firstpage
    115
  • Lastpage
    120
  • Abstract
    Ontology is the fundamental element of the semantic web that is a kind of knowledge presentation and can present the variety of property for concept. According to the regulation of Department of Health, Executive Yuan, R.O.C, the hospital has implemented the new Hospital Accreditation from 2005. Furthermore, the Hospital Accreditation evolves the variety of items of accreditation. Medical adverse event reporting is a kind of the Hospital Accreditation. The system which can deal with the medical adverse event reporting is operated by human at present. None the less, the system caused some questions, such as inconsistent knowledge and human negligence. The research proposed a new framework which can replace the human automatically. First, we get concepts through extraction of information and analyze sentences through classification of events. After that we analyze those classes which can construct variable and dynamic ontology in medical adverse event reporting.
  • Keywords
    medical administrative data processing; ontologies (artificial intelligence); pattern classification; semantic Web; Hospital Accreditation; Semantic Web; knowledge presentation; medical adverse events classification; ontology; Accreditation; Data mining; Feature extraction; Hospitals; Ontologies; Probability; Semantics; Backpropagation; Bayes´ theorem; Medical adverse classifier; Medical adverse event; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2011 IEEE International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4577-0372-0
  • Type

    conf

  • DOI
    10.1109/GRC.2011.6122578
  • Filename
    6122578