The use of decision tree induction and artificial neural networks for automatic diagnosis of Hashimotos disease
We have presented 2 models for classification of ultrasound thyroid images. Decision tree induction and multilayer perceptron neural network methods have been used. Used methods let to achieve the classification accuracy of sick cases at the level of 89.41%. Models may detect the cases affected by early stage of Hashimotos disease. Models can be used in an advisory system for support a doctor in the diagnosis of Hashimotos disease.
decision tree induction hashimotos disease classification multilayer perceptron