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dc.contributor.authorJohn, Robert, 1955-en
dc.contributor.authorGaribaldi, J. M.en
dc.contributor.authorInnocent, P. R.en
dc.date.accessioned2008-11-24T13:24:10Z
dc.date.available2008-11-24T13:24:10Z
dc.date.issued2005-01-01en
dc.identifier.citationInnocent, P.R., John, R.I., and Garibaldi, J.M. (2005) Fuzzy methods and medical diagnosis. Applied Artificial Intelligence, 19(1), pp. 69-98.
dc.identifier.issn0883-9514en
dc.identifier.urihttp://hdl.handle.net/2086/171
dc.descriptionThis article presents an in-depth study of the application of fuzzy methods to medical diagnosis. It presents a number of applications that provide strong evidence for the case for the use of fuzzy methods in medical diagnosis laying down the approaches and methods to be adopted in applying fuzzy logic to the highly uncertain domain of medical diagnosis.en
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.subjectRAE 2008
dc.subjectUoA 23 Computer Science and Informatics
dc.subjectartificial intelligence
dc.subjectfuzzy sets
dc.titleFuzzy methods and medical diagnosisen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1080/08839510590887414en
dc.researchgroupCentre for Computational Intelligence


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