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Fuzzy Symptoms and a Decision Support Index for the Early Diagnosis of Confusable Diseases

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Developments in Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 9))

Abstract

This paper describes an extension to a computationally fast and simple procedure that produces an index of support for the diagnosis of diseases. The extension allows the specification of fuzzy symptoms by using fuzzy relations to determine a symptom’s strength based on observed intensity and certainty of duration. We begin by briefly considering the context of use of the process and then go on to formally describe the fuzzy approach and the algorithm that produces the improved index. Finally, we show how the improved index values relate to two confusable diseases given a range of symptom strengths.

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References

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Author information

Authors and Affiliations

  1. Centre for Computational Intelligence Computer Science Department, De Montfort University, Leicester, UK

    P. R. Innocent

Authors
  1. P. R. Innocent
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Editor information

Editors and Affiliations

  1. Department of Computer Science, De Montfort University, The Gateway, LE1 9BH, Leicester, UK

    Robert John  & Ralph Birkenhead  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Innocent, P.R. (2001). Fuzzy Symptoms and a Decision Support Index for the Early Diagnosis of Confusable Diseases. In: John, R., Birkenhead, R. (eds) Developments in Soft Computing. Advances in Soft Computing, vol 9. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1829-1_10

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  • DOI: https://doi.org/10.1007/978-3-7908-1829-1_10

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1361-6

  • Online ISBN: 978-3-7908-1829-1

  • eBook Packages: Springer Book Archive

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