• DocumentCode
    2991263
  • Title

    Qualitative measurement interpretation using quantity spaces

  • Author

    Todd, Stephen

  • Author_Institution
    Hewlett-Packard Labs., Bristol, UK
  • fYear
    1988
  • fDate
    14-18 Mar 1988
  • Firstpage
    379
  • Lastpage
    384
  • Abstract
    A description is given of an algorithm for qualitative measurement interpretation which use the quantity spaces generated by the envisionment process to interpret numerical data taken across time. The algorithm is domain-independent, An extended example of the application of the algorithm is presented, based on the interpretation of blood glucose data using an envisionment generated form a model of the physiology of human glucose regulation
  • Keywords
    artificial intelligence; blood; medical computing; physiology; artificial intelligence; blood glucose data; domain-independent; human glucose regulation; medical computing; physiology; qualitative measurement interpretation; quantity spaces; Blood; Chemical sensors; Extraterrestrial measurements; Humans; Laboratories; Liver; Physiology; Signal generators; Sugar; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-8186-0837-4
  • Type

    conf

  • DOI
    10.1109/CAIA.1988.196134
  • Filename
    196134