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Diagnosis of thyroid disease using artificial neural network methods

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dc.contributor.authorOzyilmaz, L
dc.contributor.authorYildirim, T
dc.contributor.institutionauthorYILDIRIM, Tülay
dc.date.accessioned2026-06-27T12:57:06Z
dc.date.issued2002
dc.description.abstractProper interpretation of the thyroid gland functional data is an important issue on the diagnosis of thyroid disease. The primary role of the thyroid gland is to help regulation of the body's metabolism. Thyroid hormone produced by the thyroid gland provides this. Production of too little thyroid hormone (hypo-thyroidism) or production of too much thyroid hormone (hyper-thyroidism) definites the type of thyroid disease. In this work, various neural network methods have been used to help diagnosis of thyroid disease.en
dc.identifier.endpage2036
dc.identifier.isbn981-04-7524-1
dc.identifier.startpage2033
dc.identifier.urihttps://hdl.handle.net/20.500.14981/48077
dc.identifier.wos000182832400415
dc.language.isoeng
dc.publisherNANYANG TECHNOLOGICAL UNIV
dc.relation.conference9th International Conference on Neural Information Processing
dc.relation.ispartofICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectImaging Science & Photographic Technology
dc.titleDiagnosis of thyroid disease using artificial neural network methods
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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