Using Linguistic Models in Medical Decision Making

  • Maurice E. Cohen
  • Donna L. Hudson
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 34)


Medical records contain a wide variety of data types, including a sizable percentage in linguistic format including physician’s notes, interpretations of medical images, impressions of pathological findings, and summaries of electrocardiogram and electroencephalogram recordings. Because of the complex nature of the medical record, development of practical computer-assisted medical decision making aids has met with numerous difficulties. In this article, a number of approaches for dealing with linguistic variables are presented and illustrated in a system for decision making in cardiology.


Membership Function Linguistic Variable Inference Engine Fuzzy Subset White Blood Count 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Maurice E. Cohen
    • 1
    • 2
    • 3
  • Donna L. Hudson
    • 1
    • 2
    • 3
  1. 1.California State UniversityFresnoUSA
  2. 2.University of CaliforniaSan FranciscoUSA
  3. 3.FresnoUSA

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