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Neuro-Fuzzy Nets in Medical Diagnosis: The DIAGEN Case Study of Glaucoma

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Bio-Inspired Applications of Connectionism (IWANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2085))

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Abstract

This work presents an approach to the automatic interpretation of the visual field to enable ophthalmology patients to be classified as glaucomatous and normal. The approach is based on a neuro-fuzzy system (NEFCLASS) that enables a set of rules to be learnt, with no a priori knowledge, and the fuzzy sets that form the rule antecedents to be tuned, on the basis of a set of training data. Another alternative is to insert knowledge (fuzzy rules) and let the system tune its antecedents, as in the previous case. Three trials are shown which demonstrate the useful application of this approach in this medical discipline, enabling a set of rule bases to be obtained which produce high sensitivity and specificity values in the classification process.

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Author information

Authors and Affiliations

  1. Dpto. de Inteligencia Artificial, Facultad de Ciencias, UNED, Paseo Senda del Rey 9, 28040, Madrid, Spain

    Enrique Carmona & José Mira

  2. Dpto. de Oftalmología Hospital Clínico San Carlos,Instituto de Investigaciones Oftalmológicas Ramón Castroviejo, Universidad Complutense, Madrid, Spain

    Julián G. Feijoo

  3. Facultad de Medicina, Universidad de La Laguna, Tenerife, Spain

    Manuel G. de la Rosa

Authors
  1. Enrique Carmona
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  2. José Mira
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  3. Julián G. Feijoo
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  4. Manuel G. de la Rosa
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Senda del Rey, s/n., 28040, Madrid, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Carmona, E., Mira, J., Feijoo, J.G., de la Rosa, M.G. (2001). Neuro-Fuzzy Nets in Medical Diagnosis: The DIAGEN Case Study of Glaucoma. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_48

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  • DOI: https://doi.org/10.1007/3-540-45723-2_48

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

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