Decision support system for the diagnosis of urological dysfunctions based on fuzzy logic

David Gil, Magnus Johnsson, Juan Manuel García Chamizo, Antonio Soriano Payá, Daniel Ruiz Fernández

Research output: Chapter in Book/ReportChapter in bookpeer-review

4 Citations (Scopus)

Abstract

In this article a fuzzy system with capabilities for urological diagnosing is proposed. This system is specialized towards the diagnosis of urological dysfunctions with neurological etiology. For this reason the system specifies all the neural centres involved in both the urological phases, voiding and micturition. The fuzzy system allows to classify every dysfunction of all patients by means of their membership functions. The results of the experiments show that the fuzzy approach allows the diagnosis of urological dysfunctions from the relationship between neural centres and their associated neurological dysfunction.

Original languageEnglish
Title of host publicationDistributed Computing and Artificial Intelligence
Pages425-433
Number of pages9
DOIs
Publication statusPublished - 2010
Externally publishedYes

Publication series

NameAdvances in Intelligent and Soft Computing
PublisherSpringer Science + Business Media
ISSN (Print)1867-5662

Keywords

  • artificial intelligence in medicine
  • fuzzy logic systems
  • urology

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