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dc.contributor.authorYarman, Semaen_US
dc.contributor.authorYarman, Bekir Sıddık Binboğaen_US
dc.contributor.authorKaraman, Şebnem Leylaen_US
dc.contributor.authorGökbay, İnci Zaimen_US
dc.date.accessioned2020-10-06T07:24:23Z
dc.date.available2020-10-06T07:24:23Z
dc.date.issued2015
dc.identifier.citationGökbay, I. Z., Karaman, Ş. L., Yarman, S. & Yarman, B. S. B. (2015). An intelligent decision support tool for early diagnosis of functional pituitary adenomas. TWMS Journal of Applied and Engineering Mathematics, 5(2), 169-187.en_US
dc.identifier.issn2146-1147
dc.identifier.issn2587-1013
dc.identifier.urihttps://hdl.handle.net/11729/2559
dc.identifier.urihttp://jaem.isikun.edu.tr/web/index.php/archive/90-vol5no2/214
dc.description.abstractIn this work, a web based integrated Medical Decision Support System (MDSS) tool for mainly early diagnosis of functional pituitary adenomas (i.e., somatotrophinoma, corticotrophinoma and prolactinoma) is developed. In the MDSS tool, hormone diseases are described by means of well-classified set of attributes generated from the typical sign and symptoms of disorders.The proposed tool is based on a stationary linear stochastic system model which specifically predicts the selected hormone diseases employing certain system parameters. The MDSS tool is user friendly which includes questions and answers at the opening session of the self-test. Questions and answers session will be completed by “yes” or “no” type of simple-responses. Based on our clinical results, MDSS tool yields more than 99% correct decisions on the selected hormone diseases. It is expected that effective use of the proposed MDSS tool will save substantial amount of valuable time of an expert endocrinologists and minimizes the cost of diagnosis. Furthermore, it will provide the opportunity for early diagnosis for the patient and the expert medical doctor to take the necessary preventive measures.en_US
dc.language.isoengen_US
dc.publisherIşık University Pressen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectAcromegalyen_US
dc.subjectCushing’s diseaseen_US
dc.subjectEndocrinologyen_US
dc.subjectMedical decision support systemen_US
dc.subjectMDSS toolen_US
dc.subjectPituitary adenomasen_US
dc.subjectProlactinomaen_US
dc.titleAn intelligent decision support tool for early diagnosis of functional pituitary adenomasen_US
dc.typearticleen_US
dc.description.versionPublisher's Versionen_US
dc.relation.journalTWMS Journal of Applied and Engineering Mathematicsen_US
dc.identifier.volume5
dc.identifier.issue2
dc.identifier.startpage169
dc.identifier.endpage187
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US


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