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

Alzheimer Disease (AD) is a form of dementia; it is a progressive, degenerative disease. Alzheimer is a brain disease that causes problems with memory, thinking and behavior. It is severe enough to interfere with daily activities. Alzheimer symptoms are characterized by memory loss that affects day-to-day function, 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 and behavior, changes in personality and loss of initiative. Neuro-Fuzzy Logic explores approximation techniques from neural networks to find the parameter of a fuzzy system. In this paper, the traditional procedure for the medical diagnosis of Alzheimer employed by physician is analyzed using neuro-fuzzy inference procedure. The proposed system is a useful decision support approach for the diagnosis of Alzheimer.