الفهرس 
AcknowledgementsOnly 14 pages are availabe for public view
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Abstract
Among the diseases that faces the central nervous system, Alzheimer’s disease (AD) is considered as one of the main of these diseases. Additionally, AD represent around 60%-70% of the dementia cases of the elderly people. In general, AD is partitioned into three stages: early, moderate and severe where diagnosing the disease at the early stage is one of the main obstacles that faces the researchers. This is due to number of reasons including the variable effect of the disease on the brain regions of the AD’s sufferers. This thesis aims to present a personalized early diagnosis system of AD to address the aforementioned problem using imaging scans duo to their role in this research area. In this thesis, the structural and functional imaging scans have been used to build the proposed system. Through this system two types of diagnosis are presented where the first one aims to present a local/brain regional based diagnosis from the structural and functional point of views then these results are integrated to present a final diagnosis for the subject to be considered as a normal or at the early stage of the disease. The proposed system has been evaluated computationally to study its efficiency as compared with some of the other well-known classifiers in addition to evaluate it taking into account previous work. Additionally, the obtained results have been analyzed medically to study the compatibility of these results with the achieved medical results. The evaluation results show the efficiency of the proposed system in addressing the studied problem.