Diagnosis of EEG-based diseases using data mining and case-based reasoning
by Babita Pandey; Depika Kundra
International Journal of Intelligent Systems Design and Computing (IJISDC), Vol. 1, No. 1/2, 2017

Abstract: Medical diagnosis system (MDS) provides facility to clinical experts for diagnosis of the different diseases. This paper focus on the development of the MDS for the diagnosis of electroencephalography (EEG)-based diseases, integrating J48 (data mining) and case-based reasoning (CBR). These integrated systems reduce the error amount and degree of uncertainty. Brain is the bioelectric generator. Neurological disordering in the brain leads some problems like muscle weakness and abnormal brain functioning. EEG is a medical imaging techniques that helps to measure the abnormality occurs in the electric activity of the human brain. It gives the information about the level of consciousness of the person, and also contains very useful information relating to different physiological state of brain. In this work, firstly, J48 algorithm is used for reducing the dimension of parameters. After that CBR is implemented for diagnosis of the different EEG-based diseases. The integration of J48 and CBR improves the accuracy of diagnosis and solve the problem of knowledge acquisition.

Online publication date: Tue, 14-Mar-2017

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