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dc.contributor.authorAktan, Mehmet Emin
dc.contributor.authorAkdoğan, Erhan
dc.contributor.authorZengin, Namık
dc.contributor.authorGüney, Ömer Faruk
dc.contributor.authorParlar, Rabia Edibe
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:51:04Z
dc.date.available10.07.201910:49:13
dc.date.available2019-07-10T19:51:04Z
dc.date.issued2016en_US
dc.identifier.citationAktan, M. E., Akdoğan, E., Zengin, N., Güney, Ö. F. ve Parlar, R. E. (2016). An artificial neural network design for determination of hashimoto's thyroiditis sub-groups. CBU International Conference on Innovations in Science and Education (CBUIC) içinde (756-762. ss.). Prague, Czech Republic, March 23-25, 2016. https://dx.doi.org/10.12955/cbup.v4.845en_US
dc.identifier.isbn978-80-88042-04-4
dc.identifier.issn1805-9961
dc.identifier.urihttps://dx.doi.org/10.12955/cbup.v4.845
dc.identifier.urihttps://hdl.handle.net/20.500.12511/2138
dc.descriptionCBU International Conference on Innovations in Science and Education (CBUIC) -- MAR 23-25, 2016 -- Prague, CZECH REPUBLICen_US
dc.descriptionWOS: 000392271000114en_US
dc.description.abstractIn this study, an artificial neural network was developed for estimating Hashimoto's Thyroiditis subgroups. Medical analysis and measurements from 75 patients were used to determine the parameters most effective on disease sub-groups. The study used statistical analyses and an artificial neural network that was trained by the determined parameters. The neural network had four inputs: thyroid stimulating hormone, free thyroxine (fT4), right lobe size (RLS), and RLS2 - fT4(4), and two outputs for three groups: euthyroid, subclinical, and clinical. After training, the network was tested with data collected from 30 patients. Results show that, overall, the neural network estimated the sub-groups with 90% accuracy. Hence, the study showed that determination of Hashimoto's Thyroiditis sub-groups can be made via designed artificial neural network.en_US
dc.description.sponsorshipCentral Bohemia University, Unicorn Collegeen_US
dc.language.isoengen_US
dc.publisherCentral Bohemia Universityen_US
dc.relation.ispartofseriesCBU International Conference Proceedings
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectHashimotoen_US
dc.subjectThyroiditisen_US
dc.subjectStatistical Analyzeen_US
dc.subjectDiagnosisen_US
dc.titleAn artificial neural network design for determination of hashimoto's thyroiditis sub-groupsen_US
dc.typeconferenceObjecten_US
dc.relation.journalCBU International Conference on Innovations in Science and Education (CBUIC)en_US
dc.departmentİstanbul Medipol Üniversitesi, Eczacılık Fakültesi, Eczacılık Meslek Bilimleri Bölümü, Klinik Eczacılık Ana Bilim Dalıen_US
dc.identifier.volume4en_US
dc.identifier.startpage756en_US
dc.identifier.endpage762en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.12955/cbup.v4.845en_US


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