Makale detayı · 2003 · conference-paper
Diagnosis of thyroid disease using artificial neural network methods
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- Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)
Özet
Proper 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.
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Yerel katalogda bu makaleye atıf yapan 44 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
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- 2007 A novel hybrid method based on artificial immune recognition system (AIRS) with fuzzy weighted pre-processing for thyroid disease diagnosisAtıf 100 · OpenAlex
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- 2012 An approach based on probabilistic neural network for diagnosis of Mesothelioma s diseaseAtıf 80 · OpenAlex
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