The use of decision tree induction and artificial neural networks for automatic diagnosis of Hashimoto’s disease
作者：
Highlights：
• 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 Hashimoto’s disease.
• Models can be used in an advisory system for support a doctor in the diagnosis of Hashimoto’s disease.
摘要
•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 Hashimoto’s disease.•Models can be used in an advisory system for support a doctor in the diagnosis of Hashimoto’s disease.
论文关键词：Hashimoto’s disease,Classification,Decision tree induction,Multilayer perceptron
论文评审过程：Available online 18 March 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.03.022
