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Inflammatory protein variations: Medical knowledge representation and approximate reasoning

  • Robert Bartolin
  • Vincent Bonniol
  • Elie Sanchez
Reasoning Techniques Under Uncertainty
Part of the Lecture Notes in Computer Science book series (LNCS, volume 313)

Abstract

It is proposed a medical knowledge representation of inflammatory protein variations involving complex relationships, frequently encountered in Internal Medicine. A linguistic model has been represented by a fuzzy set pattern expressing relative variations of serum proteins levels. Weights have been introduced into this pattern to translate relative importance among proteins. Three indexes or measures (possibility, necessity and truth-possibility) have been used for pattern matching purposes. Finally, a separating power yielding non fuzzy partitions has allowed to assign the corresponding diagnoses to patients (over 160 cases).

Keywords

Inflammatory proteins Linguistic model Medical knowledge representation Approximate reasoning Weights of importance Fuzzy matching Separating power 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Robert Bartolin
    • 1
  • Vincent Bonniol
    • 2
  • Elie Sanchez
    • 3
  1. 1.Service de Médecine Interne, Hôpital de l'Hôtel-DieuMarseille cédex 1France
  2. 2.Institut de Recherche en Thérapeutique, Hôpital de l'Hôtel-DieuMarseille cédex 1France
  3. 3.Service Universitaire de Biomathématiques, Faculté de MédecineMarseille cédex 5France

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