Journal Article

·2003

Diagnosis of thyroid disease using artificial neural network methods

Lale Özyılmaz YTU , Tülay Yıldırım YTU

Abstract

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.

Keywords

Thyroid Thyroid disease Hormone Disease Medicine Computer science Endocrinology Internal medicine

Subject Areas

Advanced Scientific Research Methods ·Food Science ·Life Sciences
Neural Networks and Applications ·Artificial Intelligence ·Physical Sciences
Statistical and Computational Modeling ·Artificial Intelligence ·Physical Sciences

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