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Inflammatory protein variations: Medical knowledge representation and approximate reasoning

  • Reasoning Techniques Under Uncertainty
  • Conference paper
  • First Online:
Uncertainty and Intelligent Systems (IPMU 1988)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 313))

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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).

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Author information

Authors and Affiliations

  1. Service de Médecine Interne, Hôpital de l'Hôtel-Dieu, 6 place Daviel, 13 224, Marseille cédex 1, France

    Robert Bartolin

  2. Institut de Recherche en Thérapeutique, Hôpital de l'Hôtel-Dieu, 6 place Daviel, 13 224, Marseille cédex 1, France

    Vincent Bonniol

  3. Service Universitaire de Biomathématiques, Faculté de Médecine, 27 Bd Jean Moulin, 13 385, Marseille cédex 5, France

    Elie Sanchez

Authors
  1. Robert Bartolin
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  2. Vincent Bonniol
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  3. Elie Sanchez
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Editor information

B. Bouchon L. Saitta R. R. Yager

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© 1988 Springer-Verlag Berlin Heidelberg

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Bartolin, R., Bonniol, V., Sanchez, E. (1988). Inflammatory protein variations: Medical knowledge representation and approximate reasoning. In: Bouchon, B., Saitta, L., Yager, R.R. (eds) Uncertainty and Intelligent Systems. IPMU 1988. Lecture Notes in Computer Science, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19402-9_86

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  • DOI: https://doi.org/10.1007/3-540-19402-9_86

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19402-6

  • Online ISBN: 978-3-540-39255-2

  • eBook Packages: Springer Book Archive

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