A FUZZY EXPERT SYSTEM DESIGN FOR IRON DEFICIENCY ANEMIA

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dc.contributor.authorYilmaz, Ahmet
dc.contributor.authorDagli, Mehmet
dc.contributor.authorAllahverdi, Novruz
dc.date.accessioned2020-03-26T18:40:59Z
dc.date.available2020-03-26T18:40:59Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description7th International Conference on Application of Information and Communication Technologies (AICT) -- OCT 23-25, 2013 -- Baku, AZERBAIJANen_US
dc.description.abstractIn this study, an application of fuzzy expert system was introduced. This system was designed to determine the level of iron deficiency anemia and thus, expert physicians were provided with a system to assist them to determine an exact diagnosis prior to their treatment. While realizing the system design, the laboratory records obtained from real patients were examined, the appropriate parameters were specified, the input and output parameters were fuzzified and finally the rule base was built with the expert physician. This study used the centroid defuzzification method together with the Mamdani inference mechanism which is often used in the related literature. With the help of a visual programming language, the level of the disease was displayed in a perceptible way as the result of running the system.en_US
dc.description.sponsorshipMinist Educ Azerbaijan, Minist Commun & Informat Technologies, Qafqaz Univ, Baku State Univ, Lomonosov Moscow State Univ, Baku branch, Azerbaijan Tech Univ, ANAS, Inst Informat Technol, SOCAR, IT & Commun Dept, Informat Technol Internationalizat Res Ctr, Inst Elect & Elect Engineers, IEEE Comp Soc Azerbaijan Chapter, State Oil Co Azerbaijan Republ, Azercell Telecom LLC, MiKRO Bilgi Kayit Dagitim A S, Turkish Cooperat & Coordinat Agcyen_US
dc.description.sponsorshipScientific Research Projects Unit of Selcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis study is supported by the Scientific Research Projects Unit of Selcuk Universityen_US
dc.identifier.endpage459en_US
dc.identifier.isbn978-1-4673-6419-5
dc.identifier.issn2378-8232en_US
dc.identifier.issn2472-8586en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage456en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29147
dc.identifier.wosWOS:000345830600079en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2013 7TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT)en_US
dc.relation.ispartofseriesInternational Conference on Application of Information and Communication Technologies
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectFuzzy Logicen_US
dc.subjectIron Deficiency Anemiaen_US
dc.subjectMedical Areaen_US
dc.subjectExpert Systemen_US
dc.titleA FUZZY EXPERT SYSTEM DESIGN FOR IRON DEFICIENCY ANEMIAen_US
dc.typeConference Objecten_US

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