Detection and Classification of Alzheimer’s Disease using Machine Learning

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Detection and Classification of Alzheimer’s Disease using Machine Learning
Author(s):
M.Shakunthala, Irine Ponrose.A, Jaya Durga.M
Keywords:
Alzheimerā€™s disease, Region Masking, MRI, GLCM, LBP, ANN
Abstract
Alzheimerā€™s disease is neurodegenerative disorder which will be caused by progressive death of brain cells. The identification of Alzheimerā€™s disease (AD) has developed as the most challenging problem in medical area. This paper offers a new segmentation method which is called region masking for selecting the useful properties of affected parts in the human brain for improving the accuracy of diagnosis for Alzheimerā€™s disease. Therefore, attributes of assembled data sets can make better correctness of classification and are selected by using region masking. The data set which contains more number of normal and Alzheimerā€™s disease subjects is considered. The empirical results show that the proposed method significantly increase the degree of correctness of the diagnosis of Alzheimerā€™s disease in comparison with previous methods.
Article Details
Unique Paper ID: 149624 Publication Volume & Issue: Volume 7, Issue 1 Page(s): 143 - 147
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