• DocumentCode
    2905811
  • Title

    Chirico-a framework for computerization of medical practice guidelines

  • Author

    Davis, Clifton ; Eick, Christoph ; Krishnamurthy, Balasubramanian ; Shah, Ashish ; Wanke, Lee

  • Author_Institution
    Dept. of Comput. Sci., Houston Univ., TX, USA
  • fYear
    1995
  • fDate
    5-8 Nov 1995
  • Firstpage
    224
  • Lastpage
    227
  • Abstract
    Methodologies based on an elaboration of the knowledge acquisition and design structuring (KADS) philosophy were developed and a suite of tools based on this methodology was implemented. The tools implement object oriented support at the domain-layer, Bayesian reasoning combined with a Bayesian compatible version of “fuzzy sets” to support the inference-layer, and mechanisms for knowledge level task control to support both the task-level and strategic-level. These tools were built for the task of computerizing medical practice guidelines. The tools were successfully applied to two practice guidelines, one selected by symptom (febrile neutropenia) and the other by drug class (CSF)
  • Keywords
    Bayes methods; inference mechanisms; knowledge acquisition; medical expert systems; patient care; patient treatment; Bayesian compatible fuzzy set version; Bayesian reasoning; Chirico; drug class; febrile neutropenia; inference layer; knowledge acquisition and design structuring philosophy; knowledge level task control; medical practice guideline computerisation; object oriented domain layer support; strategic level; symptom; task level; tool suite; Artificial intelligence; Bayesian methods; Computer science; Costs; Drugs; Expert systems; Fuzzy sets; Guidelines; Medical services; Problem-solving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on
  • Conference_Location
    Herndon, VA
  • ISSN
    1082-3409
  • Print_ISBN
    0-8186-7312-5
  • Type

    conf

  • DOI
    10.1109/TAI.1995.479518
  • Filename
    479518