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Decision Support System for the Intelligient Identification of Alzheimer using Neuro Fuzzy logic

Author(s): Obi J.C | Imainvan A.A

Journal: International Journal on Soft Computing
ISSN 2229-7103

Volume: 2;
Issue: 2;
Start page: 25;
Date: 2011;
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Keywords: Neural Network | Fuzzy logic | Neuro Fuzzy System | Alzeimer

Alzheimer Disease (AD) is a form of dementia; it is a progressive, degenerative disease. Alzheimer is abrain disease that causes problems with memory, thinking and behavior. It is severe enough to interferewith daily activities. Alzheimer symptoms are characterized by memory loss that affects day-to-dayfunction, difficulty performing familiar tasks, problems with language, disorientation of time and place,poor or decreased judgment, problems with abstract thinking, misplacing things, changes in mood andbehavior, changes in personality and loss of initiative. Neuro-Fuzzy Logic explores approximationtechniques from neural networks to find the parameter of a fuzzy system. In this paper, the traditionalprocedure for the medical diagnosis of Alzheimer employed by physician is analyzed using neuro-fuzzyinference procedure. The proposed system is a useful decision support approach for the diagnosis ofAlzheimer.
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