• DocumentCode
    1957881
  • Title

    A fuzzy causal measure of individual patient treatment response

  • Author

    Jobe, Thomas H. ; Helgason, Cathy M.

  • Author_Institution
    Dept. of Neurology, Univ. of Illinois at Chicago Coll. of Medicine, IL, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    434
  • Lastpage
    438
  • Abstract
    We (2002) previously defined a necessary and sufficient causal ground to derive a formal causal ground in the unit hypercube. In addition we derived the clinical causal effect. These measures are developed from the fuzzy subset theorem as defined by Kosko (1992) and are in units of cardinality. In this paper we develop a measure of clinical efficiency K which is expressed in units of cardinality and is derived from the measures of formal causal ground and clinical causal effect. The measure of clinical efficiency was applied to 16 patients on an antiplatelet therapy. It renders a unique measure of clinical therapeutic effect for each patient. The measure of clinical efficiency developed herein can be used as an alternative to probability-based statistics to judge clinical causality.
  • Keywords
    fuzzy set theory; patient treatment; probability; statistical analysis; clinical causal ground; formal causal ground; fuzzy cardinality; fuzzy causal measure; fuzzy set theory; patient treatment response; probability; unit hypercubes; Educational institutions; Force measurement; Fuzzy sets; Hypercubes; Medical diagnostic imaging; Medical treatment; Nervous system; Postal services; Probability; Psychiatry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
  • Print_ISBN
    0-7803-7461-4
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2002.1018099
  • Filename
    1018099