• DocumentCode
    3261329
  • Title

    Cooperation Between Abductive and Inductive Nursing Risk Management

  • Author

    Abe, Akinori ; Ozaku, Hiromi Itoh ; Kuwahara, Noriaki ; Kogure, Kiyoshi

  • Author_Institution
    ATR Knowledge Sci. Labs., Kyoto
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    705
  • Lastpage
    708
  • Abstract
    In general risk management, inductive management is usually adopted. If we computationally conduct inductive management, it is vital to collect a considerable number of examples to perform machine learning. In the accident or incident report database home page, we can review various types of accidents or incidents. However, since reports are written by various nurses, the granularity and quality of reports are not sufficient for machine learning. We, therefore, explain the importance of conducting dynamic nursing risk management that can be achieved by abduction, then illustrate cooperation between abductive and inductive types of nursing risk management
  • Keywords
    cooperative systems; learning by example; medical administrative data processing; risk management; Accident Report Database; Incident Report Database; abductive nursing risk management; dynamic nursing risk management; inductive nursing risk management; machine learning; Accidents; Data mining; Hospitals; Humans; Induction generators; Machine learning; Medical services; Monitoring; Radio frequency; Risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7695-2702-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2006.53
  • Filename
    4063716