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Fuzzy expert system design for diagnosis of liver disorders

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dc.contributor.authorNeshat, M.
dc.contributor.authorYaghobi, M.
dc.contributor.authorNaghibi, M.B.
dc.contributor.authorEsmaelzadeh, A.
dc.contributor.conference2008 International Symposium on Knowledge Acquisition and Modeling, KAM 2008 (21 Dec 2008 - 22 Dec 2008 : Wuhan, China)
dc.contributor.editorZhao, C.
dc.contributor.editorWu, C.
dc.contributor.editorWang, Y.
dc.contributor.editorLiu, Q.
dc.date.issued2008
dc.description.abstractIn spite of all the standardization methods in medical diagnosis, a correct diagnosis is still considered to be an art.much of this situation is for, that medical diagnosis needs proficiency as well as experience in dealing with uncertainty. Although, in our mechanized age, boundaries of medical science have extremely expanded, you can not overcome this uncertainty easily. Offering a powerful framework to construct the model of existing systems causes fuzzy theory to change to a valuable factor towards medical diagnosis improvement. In this research, a fuzzy system has been designed for learning, analysis and diagnosis of liver disorders. Required data has been chosen from trusty data base (UCI) that has 345 records and 6 fields as the entrance parameters and rate of liver disorder risks is used as the system resulting. This system in comparison with other traditional diagnostic systems is faster, cheaper, and also more liable and more accurate. One can uses this system as a specialist assistant or for training medicine students. Also, on time diagnosis of disease and appointing the rate of liver disorders improvement has been experienced and its Verification 91%.
dc.identifier.citationProceedings - 2008 International Symposium on Knowledge Acquisition and Modeling, KAM 2008, 2008 / Zhao, C., Wu, C., Wang, Y., Liu, Q. (ed./s), pp.252-256
dc.identifier.doi10.1109/KAM.2008.43
dc.identifier.isbn9780769534886
dc.identifier.orcidNeshat, M. [0000-0002-9537-9513]
dc.identifier.urihttps://hdl.handle.net/11541.2/147520
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeUS
dc.rightsCopyright 2008 IEEE
dc.source.urihttps://doi.org/10.1109/KAM.2008.43
dc.subjectfuzzy
dc.subjectexpert system
dc.subjectliver
dc.subjectmedical
dc.titleFuzzy expert system design for diagnosis of liver disorders
dc.typeConference paper
pubs.publication-statusPublished
ror.mmsid9916530211301831

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