ArticleJournal of medical systems2008
A radial basis function neural network (RBFNN) approach for structural classification of thyroid diseases.
Article in Journal of medical systems, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Comparison of machine learning algorithms and multiple linear regression for live weight estimation of Akkaraman lambs.Tropical animal health and production · 2024Article
- An overview of deep learning applications in precocious puberty and thyroid dysfunction.Frontiers in endocrinology · 2022Review
- Alignment-Free Method to Predict Enzyme Classes and Subclasses.International journal of molecular sciences · 2019Article
- Neural network-based computer-aided diagnosis in classification of primary generalized epilepsy by EEG signals.Journal of medical systems · 2009Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The thyroid is a gland that controls key functions of body. Diseases of the thyroid gland can adversely affect nearly every organ in human body. The correct diagnosis of a patient's thyroid disease clarifies the choice of drug treatment and also allows an accurate assessment of prognosis in many cases. This study investigates Multilayer Perceptron Neural Network (MLPNN) and Radial Basis Function Neural Network (RBFNN) for structural classification of thyroid diseases. A data set for 487 patients having thyroid disease is used to build, train and test the corresponding neural networks. The structural classification of this data set was performed by two expert physicians before the input variables and results were fed into the neural networks. Experimental results show that the predictions of both neural network models are very satisfying for learning data sets. Regarding the evaluation data, the trained RBFNN model outperforms the corresponding MLPNN model. This study demonstrates the strong utility of an artificial neural network model for structural classification of thyroid diseases.
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