Abstract
The most dominant form of dementia, memory loss, is Alzheimer's disease (AD). Imaging is important for monitoring, diagnosis, and education of Alzheimer's disease prediction. Automated classification of subjects could provide support for clinicians. This study examined two classification methods to separate among elderly persons with normal cognitive (NC), Alzheimer's disease (AD), and mild cognitive impairment (MCI) by using images from the magnetic resonance imaging (MRI). The dataset consists of 120 subjects separated into 40 ADs, 40 MCIs, and 40 NCs. The first technique was K-Nearest Neighbor (KNN) and the second technique was Support Vector Machine (SVM), firstly all the subjects were filtered and normalized, secondly twelve features were extracted. After feature selection, two techniques of classification were examined with Permutations and combinations for all features in order to select the best features which have the highest accuracy for identification the classes. The best average accuracy was 97.92% using SVM polynomial order three, and best all average accuracy was 95.833% using KNN with K=6, and K=7 for random selection of testing data with SVM and KNN. The results show a relatively high classification accuracy between the three clinical categories. In summary, the proposed automatic classification technique can be used as a noninvasive diagnostic tool for Alzheimer's disease, with the capability of defining early stages of the disease.
Highlights
Alzheimer's disease (AD) is a neurological issue that consequences for individuals of age more than 60 years of age
Select the best number of features that have the highest accuracy for each class (NC, mild cognitive impairment (MCI), AD) with different values of Support Vector Machine (SVM) Polynomial order 3, 4 as shown in fig 3. & 4
The highest average accuracy was taken for the best-selected features that identify each class, and the total result accuracy for all classes with different SVM polynomial order was summarized in table 5
Summary
Alzheimer's disease (AD) is a neurological issue that consequences for individuals of age more than 60 years of age. The illness is multiplied in the scope of 4 to 6 years [1]. It was described for the first time by Alois Alzheimer, according to the increase in a number of persons with Alzheimer disease, symptoms and treatment have been intensively investigated, Wither while it's apart from a few exceptions. Risk factors have been raised only in the last years the factors that trigger the AD onset of AD remained unknown [2]. It is a standout amongst the most widely recognized pathologies infections that consequences for individuals. It turned out to be awful after some time, it influences cerebrum cells and causes the degeneration of those cells Responsible for memory [3, 4]
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