Neuro-Fuzzy Expert System For Diagnosis Of Thyroid Diseases
Journal Title: Annals. Computer Science Series - Year 2018, Vol 16, Issue 2
Abstract
The computerization of medical procedures has been identified to be one of the major challenges in the medical sector. Several techniques have been used in order to automate the processes in diagnosis of diseases; such processes include incorporation of artificial neural network and fuzzy logic techniques as expert systems with the knowledge about the domain. Such expert systems help to hasten the speed of diseases diagnosis, its accuracy and efficiency. In this paper, two artificial intelligence techniques; neural network and fuzzy logic system are considered. The two techniques are used to develop a hybrid intelligent computational system for the diagnosis of thyroid diseases. The experimental results obtain depend on the inputs to the neural network and also are set using a decision making system for making decisions on the thyroid disease according to the output of the neuro-fuzzy system.
Authors and Affiliations
Tinuke Omolewa OLADELE, Chuwunonso David OKONJI, Adegun ADEKANMI, Funke Florence ABIOLA
Keywords
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